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Authors and titles for recent submissions, skipping first 50

• Wed, 15 May 2024
• Tue, 14 May 2024
• Mon, 13 May 2024
• Fri, 10 May 2024
• Thu, 9 May 2024

Tue, 14 May 2024 (continued, showing 50 of 72 entries)

[51]  arXiv:2405.07619 [pdf, ps, other]

Title: Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent

Authors: Michael Kohler, Adam Krzyzak, Benjamin Walter

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[52]  arXiv:2405.07552 [pdf, other]

Title: Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery

Authors: Caixing Wang, Ziliang Shen

Comments: Forty-first International Conference on Machine Learning (ICML 2024)

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)

[53]  arXiv:2405.07504 [pdf, other]

Title: Hierarchical inference of evidence using posterior samples

Authors: Stefano Rinaldi, Gabriele Demasi, Walter Del Pozzo, Otto A. Hannuksela

Comments: 18 pages, 7 figures, 1 table. Comments welcome

Subjects: Methodology (stat.ME)

[54]  arXiv:2405.07482 [pdf, other]

Title: Marginal Fairness Sliced Wasserstein Barycenter

Authors: Khai Nguyen, Hai Nguyen, Nhat Ho

Comments: 33 pages, 14 figures, 6 tables

Subjects: Machine Learning (stat.ML); Graphics (cs.GR); Machine Learning (cs.LG)

[55]  arXiv:2405.07432 [pdf, other]

Title: Compressed Online Learning of Conditional Mean Embedding

Authors: Boya Hou, Sina Sanjari, Alec Koppel, Subhonmesh Bose

Comments: 39 pages

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Systems and Control (eess.SY)

[56]  arXiv:2405.07408 [pdf, other]

Title: Bayesian Spatially Clustered Compositional Regression: Linking intersectoral GDP contributions to Gini Coefficients

Authors: Jingcheng Meng, Yimeng Ren, Xuening Zhu, Guanyu Hu

Subjects: Methodology (stat.ME); Applications (stat.AP)

[57]  arXiv:2405.07397 [pdf, other]

Title: The Spike-and-Slab Quantile LASSO for Robust Variable Selection in Cancer Genomics Studies

Authors: Yuwen Liu, Jie Ren, Shuangge Ma, Cen Wu

Subjects: Methodology (stat.ME)

[58]  arXiv:2405.07294 [pdf, ps, other]

Title: Factor Strength Estimation in Vector and Matrix Time Series Factor Models

Authors: Weilin Chen, Clifford Lam

Subjects: Methodology (stat.ME); Statistics Theory (math.ST)

[59]  arXiv:2405.07286 [pdf, ps, other]

Title: A Short Note on a Flexible Cholesky Parameterization of Correlation Matrices

Authors: Sean Pinkney

Subjects: Computation (stat.CO)

[60]  arXiv:2405.07186 [pdf, other]

Title: Adaptive-TMLE for the Average Treatment Effect based on Randomized Controlled Trial Augmented with Real-World Data

Authors: Mark van der Laan, Sky Qiu, Lars van der Laan

Subjects: Methodology (stat.ME); Machine Learning (stat.ML)

[61]  arXiv:2405.07173 [pdf, other]

Title: Fusing independent inferential models in a black-box manner

Authors: Leonardo Cella

Comments: 8 pages

Subjects: Statistics Theory (math.ST)

[62]  arXiv:2405.07138 [pdf, other]

Title: Large-dimensional Robust Factor Analysis with Group Structure

Authors: Yong He, Xiaoyang Ma, Xingheng Wang, Yalin Wang

Subjects: Methodology (stat.ME)

[63]  arXiv:2405.07109 [pdf, other]

Title: Bridging Binarization: Causal Inference with Dichotomized Continuous Treatments

Authors: Kaitlyn J. Lee, Alan Hubbard, Alejandro Schuler

Subjects: Methodology (stat.ME)

[64]  arXiv:2405.07102 [pdf, other]

Title: Nested Instrumental Variables Design: Switcher Average Treatment Effect, Identification, Efficient Estimation and Generalizability

Authors: Rui Wang, Ying-Qi Zhao, Oliver Dukes, Bo Zhang

Subjects: Methodology (stat.ME); Applications (stat.AP); Other Statistics (stat.OT)

[65]  arXiv:2405.07026 [pdf, other]

Title: Selective Randomization Inference for Adaptive Experiments

Authors: Tobias Freidling, Qingyuan Zhao, Zijun Gao

Subjects: Methodology (stat.ME)

[66]  arXiv:2405.06939 [pdf, other]

Title: Tests for principal eigenvalues and eigenvectors

Authors: Jianqing Fan, Yingying Li, Ningning Xia, Xinghua Zheng

Subjects: Statistics Theory (math.ST)

[67]  arXiv:2405.06905 [pdf, other]

Title: Multimatricvariate and multimatrix variate distributions based on elliptically contoured laws under real normed division algebras

Authors: José A. Díaz-García, Francisco J. Caro-Lopera

Comments: 25 pages

Subjects: Statistics Theory (math.ST)

[68]  arXiv:2405.06889 [pdf, other]

Title: Tuning parameter selection for the adaptive nuclear norm regularized trace regression

Authors: Pan Shang, Lingchen Kong, Yiting Ma

Subjects: Methodology (stat.ME); Optimization and Control (math.OC)

[69]  arXiv:2405.06877 [pdf, ps, other]

Title: On the orthogonally equivariant estimators of a covariance matrix

Authors: Ming-Tien Tsai, Chia-Hsuan Tsai

Subjects: Statistics Theory (math.ST)

[70]  arXiv:2405.06866 [pdf, other]

Title: Dynamic Contextual Pricing with Doubly Non-Parametric Random Utility Models

Authors: Elynn Chen, Xi Chen, Lan Gao, Jiayu Li

Subjects: Methodology (stat.ME)

[71]  arXiv:2405.06857 [pdf, other]

Title: Bayesian Projection of Refugee and Asylum Seeker Populations

Authors: Herbert Susmann, Adrian E. Raftery

Comments: 31 pages, 3 tables, 6 figures

Subjects: Applications (stat.AP)

[72]  arXiv:2405.06813 [pdf, other]

Title: A note on distance variance for categorical variables

Authors: Qingyang Zhang

Comments: 3 figures

Subjects: Methodology (stat.ME); Statistics Theory (math.ST)

[73]  arXiv:2405.06799 [pdf, other]

Title: Riemannian Statistics for Any Type of Data

Authors: Oldemar Rodriguez Rojas

Subjects: Methodology (stat.ME); Statistics Theory (math.ST)

[74]  arXiv:2405.06798 [pdf, other]

Title: Estimating Value at Risk and Expected Shortfall: A Brief Review and Some New Developments

Authors: Kanon Kamronnaher, Andrew Bellucco, Whitney K. Huang, Colin M. Gallagher

Comments: 54 pages, 21 figures

Subjects: Computation (stat.CO)

[75]  arXiv:2405.06796 [pdf, other]

Title: The Multiple Change-in-Gaussian-Mean Problem

Authors: Paul Fearnhead, Piotr Fryzlewicz

Comments: This is a draft chapter from the forthcoming book "Change-Point Detection and Data Segmentation" by Paul Fearnhead and Piotr Fryzlewicz. Comments, particularly regarding the history of work in this area, are welcome

Subjects: Methodology (stat.ME); Statistics Theory (math.ST); Computation (stat.CO)

[76]  arXiv:2405.06763 [pdf, other]

Title: Post-selection inference for causal effects after causal discovery

Authors: Ting-Hsuan Chang, Zijian Guo, Daniel Malinsky

Subjects: Methodology (stat.ME)

[77]  arXiv:2405.06734 [pdf, other]

Title: Neural Estimation Of Entropic Optimal Transport

Authors: Tao Wang, Ziv Goldfeld

Comments: arXiv admin note: substantial text overlap with arXiv:2312.07397

Subjects: Statistics Theory (math.ST)

[78]  arXiv:2405.06727 [pdf, other]

Title: Approximation Error and Complexity Bounds for ReLU Networks on Low-Regular Function Spaces

Authors: Owen Davis, Gianluca Geraci, Mohammad Motamed

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[79]  arXiv:2405.06722 [pdf, ps, other]

Title: Hypergeometric Distribution Revisited: Tail Inequalities, Confidence Bounds and Sample Sizes

Authors: Anne-Marie George

Subjects: Statistics Theory (math.ST)

[80]  arXiv:2405.06672 [pdf, other]

Title: Liouville Flow Importance Sampler

Authors: Yifeng Tian, Nishant Panda, Yen Ting Lin

Comments: 25 pages, 7 figures, 15 tables. Submitted to and accepted by the 41th International Conference on Machine Learning (Vienna, Austria)

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Probability (math.PR); Data Analysis, Statistics and Probability (physics.data-an); Computation (stat.CO)

[81]  arXiv:2405.07914 (cross-list from cs.LG) [pdf, ps, other]

Title: Distribution Learning Meets Graph Structure Sampling

Authors: Arnab Bhattacharyya, Sutanu Gayen, Philips George John, Sayantan Sen, N. V. Vinodchandran

Comments: 48 pages, 2 figures. Shortened abstract as per arXiv criteria

Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Machine Learning (stat.ML)

[82]  arXiv:2405.07877 (cross-list from math.NA) [pdf, other]

Title: Optimal accuracy for linear sets of equations with the graph Laplacian

Authors: Richard B. Lehoucq, Michael Weylandt, Jonathan W. Berry

Subjects: Numerical Analysis (math.NA); Social and Information Networks (cs.SI); Computation (stat.CO)

[83]  arXiv:2405.07863 (cross-list from cs.LG) [pdf, other]

Title: RLHF Workflow: From Reward Modeling to Online RLHF

Authors: Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang

Comments: 26 pages, 8 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (stat.ML)

[84]  arXiv:2405.07860 (cross-list from econ.EM) [pdf, other]

Title: Uniform Inference for Subsampled Moment Regression

Authors: David M. Ritzwoller, Vasilis Syrgkanis

Subjects: Econometrics (econ.EM); Statistics Theory (math.ST); Machine Learning (stat.ML)

[85]  arXiv:2405.07839 (cross-list from cs.LG) [pdf, other]

Title: Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics

Authors: Haoyang Zheng, Hengrong Du, Qi Feng, Wei Deng, Guang Lin

Comments: 28 pages, 13 figures, to appear in ICML 2024

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[86]  arXiv:2405.07836 (cross-list from cs.LG) [pdf, other]

Title: Forecasting with Hyper-Trees

Authors: Alexander März, Kashif Rasul

Comments: Forecasting, Gradient Boosting, Hyper-Networks, LightGBM, Parameter Non-Stationarity, Time Series, XGBoost

Subjects: Machine Learning (cs.LG); Methodology (stat.ME)

[87]  arXiv:2405.07803 (cross-list from cs.IT) [pdf, other]

Title: Decoding Geometric Properties in Non-Random Data from First Information-Theoretic Principles

Authors: Hector Zenil, Felipe S. Abrahão

Comments: arXiv admin note: substantial text overlap with arXiv:2303.16045. substantial text overlap with arXiv:2303.16045

Subjects: Information Theory (cs.IT); Computation and Language (cs.CL); Cryptography and Security (cs.CR); Information Retrieval (cs.IR); Statistics Theory (math.ST)

[88]  arXiv:2405.07791 (cross-list from cs.LG) [pdf, ps, other]

Title: Decentralized Kernel Ridge Regression Based on Data-dependent Random Feature

Authors: Ruikai Yang, Fan He, Mingzhen He, Jie Yang, Xiaolin Huang

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (stat.ML)

[89]  arXiv:2405.07761 (cross-list from cs.LG) [pdf, other]

Title: LLM4ED: Large Language Models for Automatic Equation Discovery

Authors: Mengge Du, Yuntian Chen, Zhongzheng Wang, Longfeng Nie, Dongxiao Zhang

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Symbolic Computation (cs.SC); Mathematical Physics (math-ph); Applications (stat.AP)

[90]  arXiv:2405.07760 (cross-list from cs.LG) [pdf, other]

Title: CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimization

Authors: Wei-Ting Tang, Joel A. Paulson

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[91]  arXiv:2405.07665 (cross-list from cs.IT) [pdf, other]

Title: Partial information decomposition as information bottleneck

Authors: Artemy Kolchinsky

Subjects: Information Theory (cs.IT); Machine Learning (stat.ML)

[92]  arXiv:2405.07549 (cross-list from q-fin.RM) [pdf, other]

Title: On Joint Marginal Expected Shortfall and Associated Contribution Risk Measures

Authors: Tong Pu, Yifei Zhang, Yiying Zhang

Subjects: Risk Management (q-fin.RM); Probability (math.PR); Applications (stat.AP)

[93]  arXiv:2405.07473 (cross-list from cs.LG) [pdf, other]

Title: Intrinsic Rewards for Exploration without Harm from Observational Noise: A Simulation Study Based on the Free Energy Principle

Authors: Theodore Jerome Tinker, Kenji Doya, Jun Tani

Comments: 54 pages, 11 figures, to be published in Neural Computation

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[94]  arXiv:2405.07374 (cross-list from cs.LG) [pdf, other]

Title: Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration

Authors: Shi-ang Qi, Yakun Yu, Russell Greiner

Comments: Accepted to ICML 2024

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[95]  arXiv:2405.07359 (cross-list from cs.LG) [pdf, other]

Title: Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation

Authors: Antonio Malpica-Morales, Miguel A. Duran-Olivencia, Serafim Kalliadasis

Comments: 26 pages, 7 figures

Journal-ref: Chaos, 34, 043105 (2024)

Subjects: Machine Learning (cs.LG); Dynamical Systems (math.DS); Data Analysis, Statistics and Probability (physics.data-an); Methodology (stat.ME)

[96]  arXiv:2405.07343 (cross-list from eess.SY) [pdf, other]

Title: Graph neural networks for power grid operational risk assessment under evolving grid topology

Authors: Yadong Zhang, Pranav M Karve, Sankaran Mahadevan

Comments: Manuscript submitted to Applied Energy

Subjects: Systems and Control (eess.SY); Machine Learning (cs.LG); Methodology (stat.ME)

[97]  arXiv:2405.07331 (cross-list from cs.LG) [pdf, other]

Title: Stochastic Bandits with ReLU Neural Networks

Authors: Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani

Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Machine Learning (stat.ML)

[98]  arXiv:2405.07292 (cross-list from econ.EM) [pdf, other]

Title: Kernel Three Pass Regression Filter

Authors: Rajveer Jat, Daanish Padha

Comments: Keywords: Forecasting, High dimension, Approximate factor model, Reproducing Kernel Hilbert space, Three-pass regression filter

Subjects: Econometrics (econ.EM); Statistical Finance (q-fin.ST); Methodology (stat.ME)

[99]  arXiv:2405.07220 (cross-list from cs.LG) [pdf, other]

Title: On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition

Authors: Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang, Sanghack Lee

Comments: Conference on Causal Learning and Reasoning (CLeaR), 2023

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[100]  arXiv:2405.07098 (cross-list from cs.LG) [pdf, other]

Title: Interpretable global minima of deep ReLU neural networks on sequentially separable data

Authors: Thomas Chen, Patricia Muñoz Ewald

Comments: AMS Latex, 22 pages, 3 figures

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Mathematical Physics (math-ph); Optimization and Control (math.OC); Machine Learning (stat.ML)

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