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Authors and titles for recent submissions, skipping first 181

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Thu, 6 Jun 2024 (continued, showing last 62 of 68 entries)

[182]  arXiv:2406.03360 [pdf, other]
Title: On determinantal point processes with nonsymmetric kernels
Authors: Poinas Arnaud
Subjects: Statistics Theory (math.ST)
[183]  arXiv:2406.03358 [pdf, other]
Title: Bayesian Quantile Estimation and Regression with Martingale Posteriors
Authors: Edwin Fong, Andrew Yiu
Comments: 29 pages (main), 84 pages (total), 12 figures
Subjects: Methodology (stat.ME); Statistics Theory (math.ST)
[184]  arXiv:2406.03336 [pdf, other]
Title: Griddy-Gibbs sampling for Bayesian P-splines models with Poisson data
Authors: Oswaldo Gressani, Paul H.C. Eilers
Comments: 25 pages, 3 figures, 1 table
Subjects: Methodology (stat.ME)
[185]  arXiv:2406.03321 [pdf, other]
Title: Decision synthesis in monetary policy
Authors: Tony Chernis, Gary Koop, Emily Tallman, Mike West
Subjects: Methodology (stat.ME); Econometrics (econ.EM)
[186]  arXiv:2406.03302 [pdf, ps, other]
Title: Combining an experimental study with external data: study designs and identification strategies
Authors: Lawson Ung, Guanbo Wang, Sebastien Haneuse, Miguel A. Hernan, Issa J. Dahabreh
Comments: First submission
Subjects: Methodology (stat.ME); Statistics Theory (math.ST)
[187]  arXiv:2406.03296 [pdf, other]
Title: Multi-relational Network Autoregression Model with Latent Group Structures
Authors: Yimeng Ren, Xuening Zhu, Ganggang Xu, Yanyuan Ma
Comments: arXiv admin note: text overlap with arXiv:2212.02107
Subjects: Methodology (stat.ME)
[188]  arXiv:2406.03264 [pdf, other]
Title: No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints
Authors: Arpan Losalka, Jonathan Scarlett
Journal-ref: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, PMLR 238:3232-3240, 2024
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[189]  arXiv:2406.03260 [pdf, ps, other]
Title: Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers
Authors: Federico Bassetti, Marco Gherardi, Alessandro Ingrosso, Mauro Pastore, Pietro Rotondo
Subjects: Machine Learning (stat.ML); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG); Statistics Theory (math.ST)
[190]  arXiv:2406.03258 [pdf, other]
Title: Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
Authors: Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar
Comments: Accepted at International Conference on Machine Learning (ICML) 2024
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[191]  arXiv:2406.03252 [pdf, other]
Title: Continuous-time modeling and bootstrap for chain ladder reserving
Authors: Nicolas Baradel
Subjects: Methodology (stat.ME); Probability (math.PR)
[192]  arXiv:2406.03171 [pdf, other]
Title: High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
Authors: Yihang Chen, Fanghui Liu, Taiji Suzuki, Volkan Cevher
Comments: ICML 2024
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[193]  arXiv:2406.03130 [pdf, other]
Title: Ordinal Mixed-Effects Random Forest
Authors: Giulia Bergonzoli, Lidia Rossi, Chiara Masci
Subjects: Methodology (stat.ME); Machine Learning (stat.ML)
[194]  arXiv:2406.03056 [pdf, other]
Title: Sparse two-stage Bayesian meta-analysis for individualized treatments
Authors: Junwei Shen, Erica E.M. Moodie, Shirin Golchi
Subjects: Methodology (stat.ME); Applications (stat.AP)
[195]  arXiv:2406.02948 [pdf, other]
Title: Copula-based semiparametric nonnormal transformed linear model for survival data with dependent censoring
Authors: Huazhen Yu, Lixin Zhang
Subjects: Methodology (stat.ME); Applications (stat.AP)
[196]  arXiv:2406.02934 [pdf, other]
Title: Estimating Disease-Free Life Expectancy based on Clinical Data from the French Hospital Discharge Database
Authors: Oleksandr Sorochynskyi, Quentin Guibert, Frédéric Planchet, Michaël Schwarzinger
Journal-ref: Risks 2024, 12, 92
Subjects: Applications (stat.AP)
[197]  arXiv:2406.02894 [pdf, other]
Title: The Bunching and Monotonicity Properties of Families of Probability Distributions
Authors: S. Portnoy, N. Torrado, J.J.P. Veerman
Comments: 19 pages, 4 figures
Subjects: Statistics Theory (math.ST)
[198]  arXiv:2406.02873 [pdf, other]
Title: Prediction-powered Generalization of Causal Inferences
Authors: Ilker Demirel, Ahmed Alaa, Anthony Philippakis, David Sontag
Comments: International Conference on Machine Learning (ICML), 2024
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[199]  arXiv:2406.02868 [pdf, other]
Title: Bayesian Adaptive Trials for Social Policy
Authors: Sally Cripps, Anna Lopatnikova, Hadi Mohasel Afshar, Ben Gales, Roman Marchant, Gilad Francis, Catarina Moreira, Alex Fischer
Subjects: Applications (stat.AP)
[200]  arXiv:2406.02840 [pdf, other]
Title: Statistical inference of convex order by Wasserstein projection
Authors: Jakwang Kim, Young-Heon Kim, Yuanlong Ruan, Andrew Warren
Subjects: Methodology (stat.ME); Optimization and Control (math.OC); Statistics Theory (math.ST)
[201]  arXiv:2406.02838 [pdf, other]
Title: You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference
Authors: Dominic B. Dayta
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Computation (stat.CO)
[202]  arXiv:2406.02834 [pdf, ps, other]
Title: Asymptotic inference with flexible covariate adjustment under rerandomization and stratified rerandomization
Authors: Bingkai Wang, Fan Li
Subjects: Methodology (stat.ME)
[203]  arXiv:2406.02800 [pdf, ps, other]
Title: Asymptotic properties of parameter estimators in Vasicek model driven by tempered fractional Brownian motion
Authors: Yuliya Mishura, Kostiantyn Ralchenko, Olena Dehtiar
Comments: 17 pages
Subjects: Statistics Theory (math.ST); Probability (math.PR)
[204]  arXiv:2406.02794 [pdf, other]
Title: PriME: Privacy-aware Membership profile Estimation in networks
Authors: Abhinav Chakraborty, Sayak Chatterjee, Sagnik Nandy
Subjects: Methodology (stat.ME); Social and Information Networks (cs.SI); Statistics Theory (math.ST)
[205]  arXiv:2406.02769 [pdf, other]
Title: Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks
Authors: Chiraag Kaushik, Justin Romberg, Vidya Muthukumar
Comments: 25 pages, 3 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[206]  arXiv:2406.02751 [pdf, other]
Title: Bayesian Statistics: A Review and a Reminder for the Practicing Reliability Engineer
Authors: Carsten H. Botts
Subjects: Methodology (stat.ME)
[207]  arXiv:2406.02743 [pdf, other]
Title: Democratizing Propensity Score Matching Using Web Application
Authors: Adam Gajtkowski, Felipe Moraes
Subjects: Applications (stat.AP)
[208]  arXiv:2406.02741 [pdf, other]
Title: Sampling From Multiscale Densities With Delayed Rejection Generalized Hamiltonian Monte Carlo
Authors: Gilad Turok, Chirag Modi, Bob Carpenter
Comments: 9 pages, 5 figures
Subjects: Computation (stat.CO)
[209]  arXiv:2406.02701 [pdf, other]
Title: MPCR: Multi- and Mixed-Precision Computations Package in R
Authors: Mary Lai O. Salvana, Sameh Abdulah, Minwoo Kim, David Helmy, Ying Sun, Marc G. Genton
Subjects: Computation (stat.CO)
[210]  arXiv:2406.02663 [pdf, ps, other]
Title: Symmetric Kernels with Non-Symmetric Data: A Data-Agnostic Learnability Bound
Authors: Itay Lavie, Zohar Ringel
Subjects: Machine Learning (stat.ML); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG)
[211]  arXiv:2406.02646 [pdf, ps, other]
Title: Learning Coefficients in Semi-Regular Models
Authors: Yuki Kurumadani
Comments: 58 pages
Subjects: Statistics Theory (math.ST)
[212]  arXiv:2406.02628 [pdf, ps, other]
Title: Replicability in High Dimensional Statistics
Authors: Max Hopkins, Russell Impagliazzo, Daniel Kane, Sihan Liu, Christopher Ye
Comments: 119 pages
Subjects: Machine Learning (stat.ML); Computational Complexity (cs.CC); Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG)
[213]  arXiv:2406.03495 (cross-list from cs.LG) [pdf, other]
Title: Grokking Modular Polynomials
Authors: Darshil Doshi, Tianyu He, Aritra Das, Andrey Gromov
Comments: 7+4 pages, 3 figures, 2 tables
Subjects: Machine Learning (cs.LG); Disordered Systems and Neural Networks (cond-mat.dis-nn); High Energy Physics - Theory (hep-th); Number Theory (math.NT); Machine Learning (stat.ML)
[214]  arXiv:2406.03494 (cross-list from cs.LG) [pdf, other]
Title: Solving Poisson Equations using Neural Walk-on-Spheres
Authors: Hong Chul Nam, Julius Berner, Anima Anandkumar
Comments: Accepted at ICML 2024
Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA); Machine Learning (stat.ML)
[215]  arXiv:2406.03434 (cross-list from cs.LG) [pdf, other]
Title: Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling
Authors: Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba
Comments: Accepted at UAI 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[216]  arXiv:2406.03396 (cross-list from cs.LG) [pdf, other]
Title: Noisy Data Visualization using Functional Data Analysis
Authors: Haozhe Chen, Andres Felipe Duque Correa, Guy Wolf, Kevin R. Moon
Subjects: Machine Learning (cs.LG); Functional Analysis (math.FA); Machine Learning (stat.ML)
[217]  arXiv:2406.03386 (cross-list from cs.LG) [pdf, other]
Title: Learning Long Range Dependencies on Graphs via Random Walks
Authors: Dexiong Chen, Till Hendrik Schulz, Karsten Borgwardt
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[218]  arXiv:2406.03356 (cross-list from cs.LG) [pdf, other]
Title: Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: how does it work and how can we improve it?
Authors: Tanguy Lefort, Antoine Affouard, Benjamin Charlier, Jean-Christophe Lombardo, Mathias Chouet, Hervé Goëau, Joseph Salmon, Pierre Bonnet, Alexis Joly
Subjects: Machine Learning (cs.LG); Applications (stat.AP)
[219]  arXiv:2406.03346 (cross-list from cs.LG) [pdf, other]
Title: Normalizing Flows for Conformal Regression
Authors: Nicolo Colombo
Comments: To be presented at the 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024). 13 pages, 2 figures
Subjects: Machine Learning (cs.LG); Probability (math.PR); Machine Learning (stat.ML)
[220]  arXiv:2406.03341 (cross-list from cs.LG) [pdf, other]
Title: Tackling GenAI Copyright Issues: Originality Estimation and Genericization
Authors: Hiroaki Chiba-Okabe, Weijie J. Su
Comments: 15 pages, 6 figures
Subjects: Machine Learning (cs.LG); Methodology (stat.ME)
[221]  arXiv:2406.03337 (cross-list from cs.LG) [pdf, other]
Title: Identifying latent state transition in non-linear dynamical systems
Authors: Çağlar Hızlı, Çağatay Yıldız, Matthias Bethge, ST John, Pekka Marttinen
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[222]  arXiv:2406.03334 (cross-list from cs.LG) [pdf, other]
Title: Reparameterization invariance in approximate Bayesian inference
Authors: Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[223]  arXiv:2406.03288 (cross-list from cs.LG) [pdf, other]
Title: Embarrassingly Parallel GFlowNets
Authors: Tiago da Silva, Luiz Max Carvalho, Amauri Souza, Samuel Kaski, Diego Mesquita
Comments: Accepted to ICML 2024
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[224]  arXiv:2406.03242 (cross-list from cs.LG) [pdf, other]
Title: Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics
Authors: Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso, Philippe Chlenski, Christian A. Naesseth, Itsik Pe'er
Subjects: Machine Learning (cs.LG); Computation (stat.CO)
[225]  arXiv:2406.03198 (cross-list from cs.CL) [pdf, other]
Title: The Impossibility of Fair LLMs
Authors: Jacy Anthis, Kristian Lum, Michael Ekstrand, Avi Feller, Alexander D'Amour, Chenhao Tan
Comments: Presented at the 1st Human-Centered Evaluation and Auditing of Language Models (HEAL) workshop at CHI 2024
Subjects: Computation and Language (cs.CL); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG); Applications (stat.AP); Machine Learning (stat.ML)
[226]  arXiv:2406.03136 (cross-list from cs.LG) [pdf, ps, other]
Title: Computational Limits of Low-Rank Adaptation (LoRA) for Transformer-Based Models
Authors: Jerry Yao-Chieh Hu, Maojiang Su, En-Jui Kuo, Zhao Song, Han Liu
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computational Complexity (cs.CC); Machine Learning (stat.ML)
[227]  arXiv:2406.03072 (cross-list from cs.LG) [pdf, other]
Title: Local to Global: Learning Dynamics and Effect of Initialization for Transformers
Authors: Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar
Subjects: Machine Learning (cs.LG); Information Theory (cs.IT); Machine Learning (stat.ML)
[228]  arXiv:2406.03068 (cross-list from cs.LG) [pdf, other]
Title: How Truncating Weights Improves Reasoning in Language Models
Authors: Lei Chen, Joan Bruna, Alberto Bietti
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (stat.ML)
[229]  arXiv:2406.03061 (cross-list from cs.LG) [pdf, other]
Title: Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computing
Authors: Shihori Koyama, Daisuke Inoue, Hiroaki Yoshida, Kazuyuki Aihara, Gouhei Tanaka
Subjects: Machine Learning (cs.LG); Chaotic Dynamics (nlin.CD); Atmospheric and Oceanic Physics (physics.ao-ph); Machine Learning (stat.ML)
[230]  arXiv:2406.03057 (cross-list from cs.LG) [pdf, other]
Title: BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
Authors: Hoyong Choi, Nohyun Ki, Hye Won Chung
Comments: ICML 2024
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[231]  arXiv:2406.03033 (cross-list from cs.LG) [pdf, other]
Title: Optimal Multi-Fidelity Best-Arm Identification
Authors: Riccardo Poiani, Rémy Degenne, Emilie Kaufmann, Alberto Maria Metelli, Marcello Restelli
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[232]  arXiv:2406.02879 (cross-list from math.PR) [pdf, ps, other]
Title: Second-order differential operators, stochastic differential equations and Brownian motions on embedded manifolds
Authors: Du Nguyen, Stefan Sommer
Subjects: Probability (math.PR); Computer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV); Numerical Analysis (math.NA); Computation (stat.CO)
[233]  arXiv:2406.02869 (cross-list from physics.data-an) [pdf, other]
Title: Mesoscopic Bayesian Inference by Solvable Models
Authors: Shun Katakami, Shuhei Kashiwamura, Kenji Nagata, Masaichiro Mizumaki, Masato Okada
Subjects: Data Analysis, Statistics and Probability (physics.data-an); Statistics Theory (math.ST)
[234]  arXiv:2406.02847 (cross-list from cs.LG) [pdf, other]
Title: Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers
Authors: Brian K Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi
Comments: Accepted to ICML 2024
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[235]  arXiv:2406.02806 (cross-list from cs.LG) [pdf, other]
Title: Randomized Geometric Algebra Methods for Convex Neural Networks
Authors: Yifei Wang, Sungyoon Kim, Paul Chu, Indu Subramaniam, Mert Pilanci
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)
[236]  arXiv:2406.02789 (cross-list from cs.DS) [pdf, other]
Title: Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions
Authors: Hilal Asi, Daogao Liu, Kevin Tian
Subjects: Data Structures and Algorithms (cs.DS); Cryptography and Security (cs.CR); Machine Learning (cs.LG); Machine Learning (stat.ML)
[237]  arXiv:2406.02625 (cross-list from cs.LG) [pdf, other]
Title: Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions
Authors: Sanjay Kariyappa, Freddy Lécué, Saumitra Mishra, Christopher Pond, Daniele Magazzeni, Manuela Veloso
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[238]  arXiv:2406.02611 (cross-list from cs.LG) [pdf, other]
Title: LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments
Authors: Zikun Ye, Hema Yoganarasimhan, Yufeng Zheng
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[239]  arXiv:2406.02600 (cross-list from cs.LG) [pdf, other]
Title: Data Quality in Edge Machine Learning: A State-of-the-Art Survey
Authors: Mohammed Djameleddine Belgoumri, Mohamed Reda Bouadjenek, Sunil Aryal, Hakim Hacid
Comments: 31 pages, 5 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[240]  arXiv:2406.02587 (cross-list from cs.LG) [pdf, other]
Title: Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling
Authors: Kiri Daust, Adam Monahan
Comments: Submitted to Artificial Intelligence for the Earth Systems AMS Journal
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[241]  arXiv:2406.02585 (cross-list from cs.LG) [pdf, other]
Title: Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task
Authors: Siavash Golkar, Alberto Bietti, Mariel Pettee, Michael Eickenberg, Miles Cranmer, Keiya Hirashima, Geraud Krawezik, Nicholas Lourie, Michael McCabe, Rudy Morel, Ruben Ohana, Liam Holden Parker, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Shirley Ho
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[242]  arXiv:2406.02584 (cross-list from cs.LG) [pdf, other]
Title: Planetary Causal Inference: Implications for the Geography of Poverty
Authors: Kazuki Sakamoto, Connor T. Jerzak, Adel Daoud
Comments: For a full list of the papers found in the quantitative literature search, see this https URL
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Methodology (stat.ME); Machine Learning (stat.ML)
[243]  arXiv:2406.02581 (cross-list from cs.LG) [pdf, other]
Title: Constrained or Unconstrained? Neural-Network-Based Equation Discovery from Data
Authors: Grant Norman, Jacqueline Wentz, Hemanth Kolla, Kurt Maute, Alireza Doostan
Comments: 28 pages, 18 figures
Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA); Machine Learning (stat.ML)

Wed, 5 Jun 2024

[244]  arXiv:2406.02530 [pdf, other]
Title: LongBet: Heterogeneous Treatment Effect Estimation in Panel Data
Authors: Meijia Wang, Ignacio Martinez, P. Richard Hahn
Subjects: Methodology (stat.ME)
[245]  arXiv:2406.02502 [pdf, ps, other]
Title: Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions
Authors: Peiyao Lai, Oren Mangoubi
Subjects: Statistics Theory (math.ST); Data Structures and Algorithms (cs.DS); Numerical Analysis (math.NA); Probability (math.PR)
[246]  arXiv:2406.02369 [pdf, ps, other]
Title: Identifying Sample Size and Accuracy and Precision of the Estimators in Case-Crossover Analysis with Distributed Lags of Heteroskedastic Time-Varying Continuous Exposures Measured with Simple or Complex Error
Authors: Honghyok Kim
Comments: Submitted for peer-reviewed publication
Subjects: Methodology (stat.ME)
[247]  arXiv:2406.02360 [pdf, other]
Title: A Practical Approach for Exploring Granger Connectivity in High-Dimensional Networks of Time Series
Authors: Sipan Aslan, Hernando Ombao
Subjects: Applications (stat.AP); Computation (stat.CO); Methodology (stat.ME)
[248]  arXiv:2406.02321 [pdf, other]
Title: A Bayesian nonlinear stationary model with multiple frequencies for business cycle analysis
Authors: Łukasz Lenart, Łukasz Kwiatkowski, Justyna Wróblewska
Subjects: Methodology (stat.ME); Applications (stat.AP)
[249]  arXiv:2406.02320 [pdf, other]
Title: Compositional dynamic modelling for causal prediction in multivariate time series
Authors: Kevin Li, Graham Tierney, Christoph Hellmayr, Mike West
Comments: 23 pages, 6 figures
Subjects: Methodology (stat.ME); Applications (stat.AP)
[250]  arXiv:2406.02297 [pdf, other]
Title: Optimal Stock Portfolio Selection with a Multivariate Hidden Markov Model
Authors: Reetam Majumder, Qing Ji, Nagaraj K. Neerchal
Journal-ref: Sankhya B85 (Suppl 1), 177-198 (2023)
Subjects: Methodology (stat.ME); Applications (stat.AP)
[251]  arXiv:2406.02293 [pdf, other]
Title: Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss
Authors: Laurens Sluijterman, Frank Kreuwel, Eric Cator, Tom Heskes
Comments: 24 pages, 9 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[252]  arXiv:2406.02269 [pdf, ps, other]
Title: Graph Neural Networks Do Not Always Oversmooth
Authors: Bastian Epping, Alexandre René, Moritz Helias, Michael T. Schaub
Subjects: Machine Learning (stat.ML); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG)
[253]  arXiv:2406.02191 [pdf, other]
Title: On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data
Authors: Shunxing Fan, Mingming Gong, Kun Zhang
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[254]  arXiv:2406.02157 [pdf, other]
Title: Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs
Authors: Luca Arnaboldi, Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[255]  arXiv:2406.02124 [pdf, ps, other]
Title: Measuring the Dispersion of Discrete Distributions
Authors: Andreas Eberl, Bernhard Klar
Subjects: Methodology (stat.ME)
[256]  arXiv:2406.02054 [pdf, other]
Title: Impacts of Climate Change on Mortality: An extrapolation of temperature effects based on time series data in France
Authors: Quentin Guibert (CEREMADE), Gaëlle Pincemin, Frédéric Planchet (SAF)
Subjects: Applications (stat.AP)
[257]  arXiv:2406.02049 [pdf, other]
Title: Causal Effect Identification in LiNGAM Models with Latent Confounders
Authors: Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Mathias Drton, Negar Kiyavash
Comments: Accepted at International Conference on Machine Learning (ICML) 2024
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)
[258]  arXiv:2406.02031 [pdf, other]
Title: An Axiomatisation of Error Intolerant Estimation
Authors: Michael Brand
Comments: 30 pages main paper, 35 pages SI, 1 table, 1 figure (in SI)
Subjects: Statistics Theory (math.ST)
[259]  arXiv:2406.02028 [pdf, ps, other]
Title: How should parallel cluster randomized trials with a baseline period be analyzed? A survey of estimands and common estimators
Authors: Kenneth Menglin Lee, Fan Li
Comments: 77 pages, 16 figures
Subjects: Methodology (stat.ME)
[260]  arXiv:2406.01982 [pdf, other]
Title: Variable importance measure for spatial machine learning models with application to air pollution exposure prediction
Authors: Si Cheng, Magali N. Blanco, Lianne Sheppard, Ali Shojaie, Adam Szpiro
Subjects: Applications (stat.AP); Machine Learning (stat.ML)
[261]  arXiv:2406.01933 [pdf, ps, other]
Title: Orthogonal Causal Calibration
Authors: Justin Whitehouse, Christopher Jung, Vasilis Syrgkanis, Bryan Wilder, Zhiwei Steven Wu
Comments: 44 pages
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST); Methodology (stat.ME)
[262]  arXiv:2406.01864 [pdf, other]
Title: Variance-reduced sampling importance resampling
Authors: Yao Xiao, Kang Fu, Kun Li
Subjects: Computation (stat.CO)
[263]  arXiv:2406.01849 [pdf, other]
Title: Conditional uncorrelation equals independence
Authors: Dawid Tarłowski
Subjects: Statistics Theory (math.ST); Probability (math.PR)
[264]  arXiv:2406.01819 [pdf, other]
Title: Bayesian Linear Models: A compact general set of results
Authors: J Andres Christen
Comments: 13 pages, 4 figures, Python implementation
Subjects: Methodology (stat.ME)
[265]  arXiv:2406.01818 [pdf, other]
Title: Long-term foehn reconstruction combining unsupervised and supervised learning
Authors: Reto Stauffer, Achim Zeileis, Georg J. Mayr
Comments: 14 pages, 8 figures, 1 Table plus appendix. Submitted (as is) to the International Journal of Climatology (this https URL)
Subjects: Applications (stat.AP); Atmospheric and Oceanic Physics (physics.ao-ph); Machine Learning (stat.ML)
[266]  arXiv:2406.01813 [pdf, other]
Title: Diffusion Boosted Trees
Authors: Xizewen Han, Mingyuan Zhou
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Applications (stat.AP); Methodology (stat.ME)
[267]  arXiv:2406.01801 [pdf, other]
Title: Fearless Stochasticity in Expectation Propagation
Authors: Jonathan So, Richard E. Turner
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[268]  arXiv:2406.01750 [pdf, other]
Title: Survival Data Simulation With the R Package rsurv
Authors: Fábio N. Demarqui
Comments: 19 pages, 2 figures
Subjects: Computation (stat.CO); Methodology (stat.ME)
[269]  arXiv:2406.01663 [pdf, other]
Title: An efficient solution to Hidden Markov Models on trees with coupled branches
Authors: Farzan Vafa, Sahand Hormoz
Comments: 24 + 6 pages, 5 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Signal Processing (eess.SP); Quantitative Methods (q-bio.QM); Methodology (stat.ME)
[270]  arXiv:2406.01653 [pdf, other]
Title: An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks
Authors: Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Probability (math.PR); Applications (stat.AP); Methodology (stat.ME)
[271]  arXiv:2406.01652 [pdf, ps, other]
Title: Distributional bias compromises leave-one-out cross-validation
Authors: George I. Austin, Itsik Pe'er, Tal Korem
Comments: 20 pages, 5 figures, supplementary information
Subjects: Methodology (stat.ME); Machine Learning (cs.LG); Quantitative Methods (q-bio.QM)
[272]  arXiv:2406.02550 (cross-list from cs.LG) [pdf, other]
Title: Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
Authors: Tianyu He, Darshil Doshi, Aritra Das, Andrey Gromov
Comments: 21 pages, 19 figures
Subjects: Machine Learning (cs.LG); Disordered Systems and Neural Networks (cond-mat.dis-nn); High Energy Physics - Theory (hep-th); Machine Learning (stat.ML)
[273]  arXiv:2406.02507 (cross-list from cs.CV) [pdf, other]
Title: Guiding a Diffusion Model with a Bad Version of Itself
Authors: Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)
[274]  arXiv:2406.02490 (cross-list from cs.LG) [pdf, other]
Title: Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps
Authors: Evgenii Egorov, Ricardo Valperga, Efstratios Gavves
Journal-ref: Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[275]  arXiv:2406.02464 (cross-list from cs.LG) [pdf, other]
Title: Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
Authors: Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel
Comments: Accepted at ICML 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[276]  arXiv:2406.02432 (cross-list from cs.DS) [pdf, other]
Title: Coresets for Multiple $\ell_p$ Regression
Authors: David P. Woodruff, Taisuke Yasuda
Comments: ICML 2024
Subjects: Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Machine Learning (stat.ML)
[277]  arXiv:2406.02431 (cross-list from cs.DS) [pdf, other]
Title: Reweighted Solutions for Weighted Low Rank Approximation
Authors: David P. Woodruff, Taisuke Yasuda
Comments: ICML 2024
Subjects: Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Machine Learning (stat.ML)
[278]  arXiv:2406.02424 (cross-list from cs.LG) [pdf, ps, other]
Title: Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints
Authors: Zifeng Zhao, Feiyu Jiang, Yi Yu
Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST); Methodology (stat.ME)
[279]  arXiv:2406.02413 (cross-list from math.OC) [pdf, other]
Title: Accelerated Variance-Reduced Forward-Reflected Methods for Root-Finding Problems
Authors: Quoc Tran-Dinh
Comments: 26 pages, 2 figures
Subjects: Optimization and Control (math.OC); Machine Learning (stat.ML)
[280]  arXiv:2406.02402 (cross-list from math.OC) [pdf, other]
Title: Online Fair Allocation of Perishable Resources
Authors: Siddhartha Banerjee, Chamsi Hssaine, Sean R. Sinclair
Comments: 51 pages, 8 figures
Subjects: Optimization and Control (math.OC); Computer Science and Game Theory (cs.GT); Machine Learning (stat.ML)
[281]  arXiv:2406.02362 (cross-list from cs.LG) [pdf, other]
Title: Temporal Graph Rewiring with Expander Graphs
Authors: Katarina Petrović, Shenyang Huang, Farimah Poursafaei, Petar Veličković
Comments: 10 pages, 2 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Social and Information Networks (cs.SI); Machine Learning (stat.ML)
[282]  arXiv:2406.02354 (cross-list from cs.LG) [pdf, other]
Title: Label-wise Aleatoric and Epistemic Uncertainty Quantification
Authors: Yusuf Sale, Paul Hofman, Timo Löhr, Lisa Wimmer, Thomas Nagler, Eyke Hüllermeier
Comments: Uncertainty in Artificial Intelligence. arXiv admin note: substantial text overlap with arXiv:2401.00276
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[283]  arXiv:2406.02317 (cross-list from cs.LG) [pdf, other]
Title: Generative Conditional Distributions by Neural (Entropic) Optimal Transport
Authors: Bao Nguyen, Binh Nguyen, Hieu Trung Nguyen, Viet Anh Nguyen
Comments: 15 pages, 8 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[284]  arXiv:2406.02258 (cross-list from cs.LG) [pdf, other]
Title: Reinforcement Learning with Lookahead Information
Authors: Nadav Merlis
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[285]  arXiv:2406.02234 (cross-list from cs.LG) [pdf, other]
Title: On the Limitations of Fractal Dimension as a Measure of Generalization
Authors: Charlie Tan, Inés García-Redondo, Qiquan Wang, Michael M. Bronstein, Anthea Monod
Comments: 17 pages, 6 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Dynamical Systems (math.DS); Machine Learning (stat.ML)
[286]  arXiv:2406.02225 (cross-list from math.OC) [pdf, other]
Title: Riemannian coordinate descent algorithms on matrix manifolds
Authors: Andi Han, Pratik Jawanpuria, Bamdev Mishra
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Machine Learning (stat.ML)
[287]  arXiv:2406.02180 (cross-list from cs.LG) [pdf, other]
Title: On The Statistical Representation Properties Of The Perturb-Softmax And The Perturb-Argmax Probability Distributions
Authors: Hedda Cohen Indelman, Tamir Hazan
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[288]  arXiv:2406.02177 (cross-list from cs.LG) [pdf, other]
Title: One-Shot Federated Learning with Bayesian Pseudocoresets
Authors: Tim d'Hondt, Mykola Pechenizkiy, Robert Peharz
Comments: 10 pages
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (stat.ML)
[289]  arXiv:2406.02152 (cross-list from econ.EM) [pdf, other]
Title: A sequential test procedure for the choice of the number of regimes in multivariate nonlinear models
Authors: Andrea Bucci
Subjects: Econometrics (econ.EM); Statistics Theory (math.ST)
[290]  arXiv:2406.02105 (cross-list from cs.LG) [pdf, other]
Title: Kernel vs. Kernel: Exploring How the Data Structure Affects Neural Collapse
Authors: Vignesh Kothapalli, Tom Tirer
Comments: 34 pages, 14 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Information Theory (cs.IT); Machine Learning (stat.ML)
[291]  arXiv:2406.02052 (cross-list from cs.LG) [pdf, other]
Title: PETRA: Parallel End-to-end Training with Reversible Architectures
Authors: Stéphane Rivaud (MLIA), Louis Fournier (MLIA), Thomas Pumir, Eugene Belilovsky (MILA), Michael Eickenberg, Edouard Oyallon
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[292]  arXiv:2406.02017 (cross-list from cs.LG) [pdf, other]
Title: On the Mode-Seeking Properties of Langevin Dynamics
Authors: Xiwei Cheng, Kexin Fu, Farzan Farnia
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[293]  arXiv:2406.02016 (cross-list from math.OC) [pdf, other]
Title: Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
Authors: Ruichen Jiang, Ali Kavis, Qiujiang Jin, Sujay Sanghavi, Aryan Mokhtari
Comments: 33 pages, 2 figures
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Machine Learning (stat.ML)
[294]  arXiv:2406.01923 (cross-list from eess.SY) [pdf, other]
Title: Development of Bayesian Component Failure Models in E1 HEMP Grid Analysis
Authors: Niladri Das, Ross Guttromson, Tommie A. Catanach
Subjects: Systems and Control (eess.SY); Applications (stat.AP)
[295]  arXiv:2406.01895 (cross-list from cs.LG) [pdf, other]
Title: Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks
Authors: Mahdi Sabbaghi, George Pappas, Hamed Hassani, Surbhi Goel
Comments: 32 pages, 16 figures
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Machine Learning (stat.ML)
[296]  arXiv:2406.01870 (cross-list from cs.LG) [pdf, other]
Title: Understanding Stochastic Natural Gradient Variational Inference
Authors: Kaiwen Wu, Jacob R. Gardner
Comments: ICML 2024
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[297]  arXiv:2406.01823 (cross-list from cs.LG) [pdf, other]
Title: Causal Discovery with Fewer Conditional Independence Tests
Authors: Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Methodology (stat.ME); Machine Learning (stat.ML)
[298]  arXiv:2406.01799 (cross-list from cs.LG) [pdf, other]
Title: Online Control in Population Dynamics
Authors: Noah Golowich, Elad Hazan, Zhou Lu, Dhruv Rohatgi, Y. Jennifer Sun
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)
[299]  arXiv:2406.01793 (cross-list from cs.LG) [pdf, other]
Title: Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
Authors: Andreas Schlaginhaufen, Maryam Kamgarpour
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[300]  arXiv:2406.01766 (cross-list from cs.LG) [pdf, ps, other]
Title: How Does Gradient Descent Learn Features -- A Local Analysis for Regularized Two-Layer Neural Networks
Authors: Mo Zhou, Rong Ge
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[301]  arXiv:2406.01762 (cross-list from cs.LG) [pdf, other]
Title: Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation
Authors: Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou
Comments: ICML 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[302]  arXiv:2406.01753 (cross-list from cs.LG) [pdf, other]
Title: Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification
Authors: Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
Comments: Under review
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (stat.ML)
[303]  arXiv:2406.01661 (cross-list from cs.LG) [pdf, other]
Title: A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
Authors: Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner
Comments: Accepted at ICML 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Discrete Mathematics (cs.DM); Machine Learning (stat.ML)
[304]  arXiv:2406.01660 (cross-list from cs.LG) [pdf, other]
Title: Self-Improving Robust Preference Optimization
Authors: Eugene Choi, Arash Ahmadian, Matthieu Geist, Oilvier Pietquin, Mohammad Gheshlaghi Azar
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[305]  arXiv:2406.01649 (cross-list from cs.LG) [pdf, other]
Title: CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations
Authors: Franz Motzkus, Christian Hellert, Ute Schmid
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Methodology (stat.ME)
[306]  arXiv:2406.01611 (cross-list from cs.IR) [pdf, other]
Title: System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes
Authors: Arpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel
Comments: Accepted at FAccT'24
Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG); Machine Learning (stat.ML)
[307]  arXiv:2406.01599 (cross-list from q-bio.QM) [pdf, ps, other]
Title: Markov Chain Monte Carlo with Gaussian Process Emulation for a 1D Hemodynamics Model of CTEPH
Authors: Amirreza Kachabi, Mitchel J. Colebank, Sofia Altieri Correa, Naomi C. Chesler
Subjects: Quantitative Methods (q-bio.QM); Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG); Data Analysis, Statistics and Probability (physics.data-an); Applications (stat.AP)
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