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Authors and titles for recent submissions, skipping first 106

• Thu, 16 May 2024
• Wed, 15 May 2024
• Tue, 14 May 2024
• Mon, 13 May 2024
• Fri, 10 May 2024

Tue, 14 May 2024 (continued, showing 25 of 72 entries)

[107]  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)

[108]  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)

[109]  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)

[110]  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)

[111]  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)

[112]  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)

[113]  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)

[114]  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)

[115]  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)

[116]  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)

[117]  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)

[118]  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)

[119]  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)

[120]  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)

[121]  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)

[122]  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)

[123]  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)

[124]  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)

[125]  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)

[126]  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)

[127]  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)

[128]  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)

[129]  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)

[130]  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)

[131]  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)

• Thu, 16 May 2024
• Wed, 15 May 2024
• Tue, 14 May 2024
• Mon, 13 May 2024
• Fri, 10 May 2024