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Authors and titles for recent submissions, skipping first 110

• Fri, 7 Jun 2024
• Thu, 6 Jun 2024
• Wed, 5 Jun 2024
• Tue, 4 Jun 2024
• Mon, 3 Jun 2024

Thu, 6 Jun 2024 (continued, showing last 11 of 68 entries)

[111]  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)

[112]  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)

[113]  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)

[114]  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)

[115]  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)

[116]  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)

[117]  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)

[118]  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)

[119]  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)

[120]  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)

[121]  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 (showing first 39 of 64 entries)

[122]  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)

[123]  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)

[124]  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)

[125]  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)

[126]  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)

[127]  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)

[128]  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)

[129]  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)

[130]  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)

[131]  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)

[132]  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)

[133]  arXiv:2406.02124 [pdf, ps, other]

Title: Measuring the Dispersion of Discrete Distributions

Authors: Andreas Eberl, Bernhard Klar

Subjects: Methodology (stat.ME)

[134]  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)

[135]  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)

[136]  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)

[137]  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)

[138]  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)

[139]  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)

[140]  arXiv:2406.01864 [pdf, other]

Title: Variance-reduced sampling importance resampling

Authors: Yao Xiao, Kang Fu, Kun Li

Subjects: Computation (stat.CO)

[141]  arXiv:2406.01849 [pdf, other]

Title: Conditional uncorrelation equals independence

Authors: Dawid Tarłowski

Subjects: Statistics Theory (math.ST); Probability (math.PR)

[142]  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)

[143]  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)

[144]  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)

[145]  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)

[146]  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)

[147]  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)

[148]  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)

[149]  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)

[150]  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)

[151]  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)

[152]  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)

[153]  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)

[154]  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)

[155]  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)

[156]  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)

[157]  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)

[158]  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)

[159]  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)

[160]  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)

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