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Authors and titles for recent submissions, skipping first 178

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Wed, 5 Jun 2024 (continued, showing last 53 of 64 entries)

[179]  arXiv:2406.02124 [pdf, ps, other]
Title: Measuring the Dispersion of Discrete Distributions
Authors: Andreas Eberl, Bernhard Klar
Subjects: Methodology (stat.ME)
[180]  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)
[181]  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)
[182]  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)
[183]  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)
[184]  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)
[185]  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)
[186]  arXiv:2406.01864 [pdf, other]
Title: Variance-reduced sampling importance resampling
Authors: Yao Xiao, Kang Fu, Kun Li
Subjects: Computation (stat.CO)
[187]  arXiv:2406.01849 [pdf, other]
Title: Conditional uncorrelation equals independence
Authors: Dawid Tarłowski
Subjects: Statistics Theory (math.ST); Probability (math.PR)
[188]  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)
[189]  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)
[190]  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)
[191]  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)
[192]  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)
[193]  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)
[194]  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)
[195]  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)
[196]  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)
[197]  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)
[198]  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)
[199]  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)
[200]  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)
[201]  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)
[202]  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)
[203]  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)
[204]  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)
[205]  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)
[206]  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)
[207]  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)
[208]  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)
[209]  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)
[210]  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)
[211]  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)
[212]  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)
[213]  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)
[214]  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)
[215]  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)
[216]  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)
[217]  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)
[218]  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)
[219]  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)
[220]  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)
[221]  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)
[222]  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)
[223]  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)
[224]  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)
[225]  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)
[226]  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)
[227]  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)
[228]  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)
[229]  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)
[230]  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)
[231]  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)

Tue, 4 Jun 2024 (showing first 47 of 105 entries)

[232]  arXiv:2406.01589 [pdf, other]
Title: Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
Authors: Stefano Sarao Mannelli, Yaraslau Ivashinka, Andrew Saxe, Luca Saglietti
Comments: Accepted to ICML 2024
Subjects: Machine Learning (stat.ML); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG); Neurons and Cognition (q-bio.NC)
[233]  arXiv:2406.01557 [pdf, other]
Title: Bayesian compositional regression with flexible microbiome feature aggregation and selection
Authors: Satabdi Saha, Liangliang Zhang, Kim-Anh Do, Christine B. Peterson
Subjects: Methodology (stat.ME); Applications (stat.AP)
[234]  arXiv:2406.01552 [pdf, ps, other]
Title: Learning equivariant tensor functions with applications to sparse vector recovery
Authors: Wilson G. Gregory, Josué Tonelli-Cueto, Nicholas F. Marshall, Andrew S. Lee, Soledad Villar
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[235]  arXiv:2406.01268 [pdf, ps, other]
Title: Integral Probability Metrics on submanifolds: interpolation inequalities and optimal inference
Authors: Arthur Stéphanovitch
Subjects: Statistics Theory (math.ST)
[236]  arXiv:2406.01262 [pdf, other]
Title: Structural Health Monitoring with Functional Data: Two Case Studies
Authors: Philipp Wittenberg, Sven Knoth, Jan Gertheiss
Comments: 16 pages, 9 figures
Subjects: Applications (stat.AP)
[237]  arXiv:2406.01259 [pdf, other]
Title: Aging modeling and lifetime prediction of a proton exchange membrane fuel cell using an extended Kalman filter
Authors: Serigne Daouda Pene, Antoine Picot, Fabrice Gamboa, Nicolas Savy, Christophe Turpin, Amine Jaafar
Subjects: Applications (stat.AP); Systems and Control (eess.SY); Numerical Analysis (math.NA); Computation (stat.CO); Methodology (stat.ME)
[238]  arXiv:2406.01242 [pdf, other]
Title: Multiple Comparison Procedures for Simultaneous Inference in Functional MANOVA
Authors: Merle Munko, Marc Ditzhaus, Markus Pauly, Łukasz Smaga
Subjects: Methodology (stat.ME)
[239]  arXiv:2406.01218 [pdf, other]
Title: Sequential FDR and pFDR control under arbitrary dependence, with application to pharmacovigilance database monitoring
Authors: Michael Hankin, Jay Bartroff
Comments: arXiv admin note: text overlap with arXiv:1406.5933
Subjects: Methodology (stat.ME)
[240]  arXiv:2406.01161 [pdf, other]
Title: Dynamic Structural Causal Models
Authors: Philip Boeken, Joris M. Mooij
Subjects: Statistics Theory (math.ST); Probability (math.PR); Machine Learning (stat.ML)
[241]  arXiv:2406.01149 [pdf, ps, other]
Title: Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms
Authors: Avishek Ghosh, Arya Mazumdar
Comments: To appear in ICML 2024
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Information Theory (cs.IT); Machine Learning (cs.LG)
[242]  arXiv:2406.00998 [pdf, other]
Title: Distributional Refinement Network: Distributional Forecasting via Deep Learning
Authors: Benjamin Avanzi, Eric Dong, Patrick J. Laub, Bernard Wong
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Risk Management (q-fin.RM); Methodology (stat.ME)
[243]  arXiv:2406.00940 [pdf, other]
Title: Measurement Error-Robust Causal Inference via Constructed Instrumental Variables
Authors: Caleb H. Miles, Linda Valeri, Brent Coull
Comments: 72 pages, 4 figures
Subjects: Methodology (stat.ME)
[244]  arXiv:2406.00930 [pdf, ps, other]
Title: A class of sequential multi-hypothesis tests
Authors: Andrey Novikov
Comments: 16 pages, 4 tables
Subjects: Methodology (stat.ME); Computation (stat.CO)
[245]  arXiv:2406.00920 [pdf, ps, other]
Title: Demystifying SGD with Doubly Stochastic Gradients
Authors: Kyurae Kim, Joohwan Ko, Yi-An Ma, Jacob R. Gardner
Comments: Accepted to ICML'24
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC)
[246]  arXiv:2406.00906 [pdf, other]
Title: A Bayesian Generalized Bridge Regression Approach to Covariance Estimation in the Presence of Covariates
Authors: Christina Zhao (1), Ding Xiang (2), Galin L. Jones (1), Adam J. Rothman (1) ((1) School of Statistics, University of Minnesota, (2) Liberty Mutual Insurance)
Comments: 49 pages, 11 figures
Subjects: Methodology (stat.ME)
[247]  arXiv:2406.00866 [pdf, other]
Title: Planning for Gold: Sample Splitting for Valid Powerful Design of Observational Studies
Authors: William Bekerman, Abhinandan Dalal, Carlo del Ninno, Dylan S. Small
Subjects: Methodology (stat.ME)
[248]  arXiv:2406.00853 [pdf, other]
Title: A Tutorial on Doubly Robust Learning for Causal Inference
Authors: Hlynur Davíð Hlynsson
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST); Methodology (stat.ME)
[249]  arXiv:2406.00823 [pdf, other]
Title: Lasso Bandit with Compatibility Condition on Optimal Arm
Authors: Harin Lee, Taehyun Hwang, Min-hwan Oh
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[250]  arXiv:2406.00820 [pdf, ps, other]
Title: Weak convergence of adaptive Markov chain Monte Carlo
Authors: Austin Brown, Jeffrey S. Rosenthal
Subjects: Statistics Theory (math.ST)
[251]  arXiv:2406.00812 [pdf, other]
Title: Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation
Authors: Yueming Lyu, Kim Yong Tan, Yew Soon Ong, Ivor W. Tsang
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[252]  arXiv:2406.00804 [pdf, other]
Title: On the Addams family of discrete frailty distributions for modelling multivariate case I interval-censored data
Authors: Maximilian Bardo, Niel Hens, Steffen Unkel
Subjects: Methodology (stat.ME)
[253]  arXiv:2406.00793 [pdf, other]
Title: Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective
Authors: Fabian Falck, Ziyu Wang, Chris Holmes
Comments: Accepted at International Conference on Machine Learning (ICML) 2024
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[254]  arXiv:2406.00778 [pdf, other]
Title: Bayesian Joint Additive Factor Models for Multiview Learning
Authors: Niccolo Anceschi, Federico Ferrari, David B. Dunson, Himel Mallick
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Computation (stat.CO); Methodology (stat.ME)
[255]  arXiv:2406.00730 [pdf, other]
Title: Assessing survival models by interval testing
Authors: Ben Lee
Comments: Main: 11 pages. Total: 14 pages
Subjects: Methodology (stat.ME)
[256]  arXiv:2406.00713 [pdf, other]
Title: Logistic Variational Bayes Revisited
Authors: Michael Komodromos, Marina Evangelou, Sarah Filippi
Comments: Accepted at the 41st International Conference on Machine Learning
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)
[257]  arXiv:2406.00703 [pdf, other]
Title: A Partition-insensitive Parallel Framework for Distributed Model Fitting
Authors: Xiaofei Wu, Rongmei Liang, Fabio Roli, Marcello Pelillo, Jing Yuan
Subjects: Computation (stat.CO)
[258]  arXiv:2406.00701 [pdf, other]
Title: Profiled Transfer Learning for High Dimensional Linear Model
Authors: Ziqian Lin, Junlong Zhao, Fang Wang, Hansheng Wang
Subjects: Statistics Theory (math.ST); Methodology (stat.ME)
[259]  arXiv:2406.00700 [pdf, other]
Title: On the modelling and prediction of high-dimensional functional time series
Authors: Jinyuan Chang, Qin Fang, Xinghao Qiao, Qiwei Yao
Comments: 35 pages, 1 figure, 7 tables
Subjects: Methodology (stat.ME); Econometrics (econ.EM); Statistics Theory (math.ST)
[260]  arXiv:2406.00660 [pdf, other]
Title: Non-asymptotic Properties of Generalized Mondrian Forests in Statistical Learning
Authors: Haoran Zhan, Jingli Wang, Yingcun Xia
Subjects: Statistics Theory (math.ST)
[261]  arXiv:2406.00630 [pdf, other]
Title: On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes
Authors: Zhiheng Chen, Guanhua Fang, Wen Yu
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[262]  arXiv:2406.00577 [pdf, ps, other]
Title: Analyzing trends for agricultural decision support system using twitter data
Authors: Sneha Jha, Dharmendra Saraswat, Mark D. Ward
Comments: 7 pages, conference accepted
Subjects: Applications (stat.AP)
[263]  arXiv:2406.00549 [pdf, other]
Title: Zero Inflation as a Missing Data Problem: a Proxy-based Approach
Authors: Trung Phung, Jaron J.R. Lee, Opeyemi Oladapo-Shittu, Eili Y. Klein, Ayse Pinar Gurses, Susan M. Hannum, Kimberly Weems, Jill A. Marsteller, Sara E. Cosgrove, Sara C. Keller, Ilya Shpitser
Comments: 28 pages, 8 figues, accepted for the 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024)
Subjects: Methodology (stat.ME); Artificial Intelligence (cs.AI)
[264]  arXiv:2406.00527 [pdf, other]
Title: Estimating the Number of Street Vendors in New York City
Authors: Jonathan Auerbach
Subjects: Applications (stat.AP)
[265]  arXiv:2406.00493 [pdf, other]
Title: Assessment of Case Influence in the Lasso with a Case-weight Adjusted Solution Path
Authors: Zhenbang Jiao, Yoonkyung Lee
Comments: 34 pages, 10 figures
Subjects: Methodology (stat.ME)
[266]  arXiv:2406.00424 [pdf, other]
Title: A Batch Sequential Halving Algorithm without Performance Degradation
Authors: Sotetsu Koyamada, Soichiro Nishimori, Shin Ishii
Comments: Accepted to RLC 2024
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[267]  arXiv:2406.00416 [pdf, other]
Title: Representation and De-interleaving of Mixtures of Hidden Markov Processes
Authors: Jiadi Bao, Mengtao Zhu, Yunjie Li, Shafei Wang
Comments: 13 pages, 9 figures, submitted to IEEE transactions on Signal Processing
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Signal Processing (eess.SP)
[268]  arXiv:2406.00388 [pdf, ps, other]
Title: Products, Abstractions and Inclusions of Causal Spaces
Authors: Simon Buchholz, Junhyung Park, Bernhard Schölkopf
Subjects: Statistics Theory (math.ST)
[269]  arXiv:2406.00369 [pdf, other]
Title: Algebraic Geometrical Analysis of Metropolis Algorithm When Parameters Are Non-identifiable
Authors: Kenji Nagata, Yoh-ichi Mototake
Comments: 14 pages, 3 figures
Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML)
[270]  arXiv:2406.00326 [pdf, other]
Title: Far beyond day-ahead with econometric models for electricity price forecasting
Authors: Paul Ghelasi, Florian Ziel
Subjects: Applications (stat.AP); Econometrics (econ.EM)
[271]  arXiv:2406.00322 [pdf, other]
Title: Adaptive Penalized Likelihood method for Markov Chains
Authors: Yining Zhou, Ming Gao, Yiting Chen, Xiaoping Shi
Subjects: Methodology (stat.ME); Applications (stat.AP)
[272]  arXiv:2406.00317 [pdf, other]
Title: Combining Experimental and Historical Data for Policy Evaluation
Authors: Ting Li, Chengchun Shi, Qianglin Wen, Yang Sui, Yongli Qin, Chunbo Lai, Hongtu Zhu
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)
[273]  arXiv:2406.00245 [pdf, other]
Title: Model-based Clustering of Zero-Inflated Single-Cell RNA Sequencing Data via the EM Algorithm
Authors: Zahra AghahosseinaliShirazi, Pedro A. Rangel, Camila P. E. de Souza
Comments: 49 Pages
Subjects: Methodology (stat.ME); Applications (stat.AP)
[274]  arXiv:2406.00196 [pdf, other]
Title: A Seamless Phase II/III Design with Dose Optimization for Oncology Drug Development
Authors: Yuhan Li, Yiding Zhang, Gu Mi, Ji Lin
Subjects: Methodology (stat.ME); Applications (stat.AP)
[275]  arXiv:2406.00128 [pdf, ps, other]
Title: Matrix-valued Factor Model with Time-varying Main Effects
Authors: Clifford Lam, Zetai Cen
Comments: 64 pages, 12 figures
Subjects: Statistics Theory (math.ST); Methodology (stat.ME)
[276]  arXiv:2406.00127 [pdf, ps, other]
Title: Training on the Edge of Stability Is Caused by Layerwise Jacobian Alignment
Authors: Mark Lowell, Catharine Kastner
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[277]  arXiv:2406.01588 (cross-list from cs.LG) [pdf, other]
Title: nn2poly: An R Package for Converting Neural Networks into Interpretable Polynomials
Authors: Pablo Morala (1 and 2), Jenny Alexandra Cifuentes (3), Rosa E. Lillo (1 and 2), Iñaki Ucar (1 and 2) ((1) uc3m-Santander Big Data Institute, Universidad Carlos III de Madrid. Spain., (2) Department of Statistics, Universidad Carlos III de Madrid. Spain., (3) ICADE, Department of Quantitative Methods, Faculty of Economics and Business Administration and the Institute for Research in Technology (IIT), ICAI School of Engineering, Universidad Pontificia Comillas. Spain.)
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[278]  arXiv:2406.01581 (cross-list from cs.LG) [pdf, other]
Title: Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit
Authors: Jason D. Lee, Kazusato Oko, Taiji Suzuki, Denny Wu
Comments: 34 pages
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
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