Machine Learning

Authors and titles for stat.ML in Apr 2024, skipping first 75

[76]  arXiv:2404.13649 [pdf, other]

Title: Distributional Principal Autoencoders

Authors: Xinwei Shen, Nicolai Meinshausen

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

[77]  arXiv:2404.13731 [pdf, ps, other]

Title: Training-Conditional Coverage Bounds for Uniformly Stable Learning Algorithms

Authors: Mehrdad Pournaderi, Yu Xiang

Comments: Accepted to the ISIT 2024 workshop on Information-Theoretic Methods for Trustworthy Machine Learning (IT-TML)

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

[78]  arXiv:2404.14276 [pdf, other]

Title: A Bayesian Approach for Prioritising Driving Behaviour Investigations in Telematic Auto Insurance Policies

Authors: Mark McLeod, Bernardo Perez-Orozco, Nika Lee, Davide Zilli

Comments: International Congress of Actuaries (2023)

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

[79]  arXiv:2404.14460 [pdf, other]

Title: Inference of Causal Networks using a Topological Threshold

Authors: Filipe Barroso, Diogo Gomes, Gareth J. Baxter

Comments: 17 pages, 12 figures

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

[80]  arXiv:2404.14743 [pdf, other]

Title: Gradient Guidance for Diffusion Models: An Optimization Perspective

Authors: Yingqing Guo, Hui Yuan, Yukang Yang, Minshuo Chen, Mengdi Wang

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

[81]  arXiv:2404.14873 [pdf, ps, other]

Title: Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data

Authors: Hyeontae Jo, Sung Woong Cho, Hyung Ju Hwang

Comments: 16 pages, 10 figures

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Numerical Analysis (math.NA)

[82]  arXiv:2404.15466 [pdf, other]

Title: Private Optimal Inventory Policy Learning for Feature-based Newsvendor with Unknown Demand

Authors: Tuoyi Zhao, Wen-xin Zhou, Lan Wang

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

[83]  arXiv:2404.15618 [pdf, other]

Title: Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations

Authors: Sawan Kumar, Rajdip Nayek, Souvik Chakraborty

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

[84]  arXiv:2404.15746 [pdf, other]

Title: Collaborative Heterogeneous Causal Inference Beyond Meta-analysis

Authors: Tianyu Guo, Sai Praneeth Karimireddy, Michael I. Jordan

Comments: submitted to ICML

Subjects: Machine Learning (stat.ML); Cryptography and Security (cs.CR); Machine Learning (cs.LG)

[85]  arXiv:2404.15967 [pdf, other]

Title: Interpretable Clustering with the Distinguishability Criterion

Authors: Ali Turfah, Xiaoquan Wen

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

[86]  arXiv:2404.16287 [pdf, other]

Title: Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference

Authors: Zhe Zhang, Ryumei Nakada, Linjun Zhang

Comments: 56 pages, 3 figures

Subjects: Machine Learning (stat.ML); Cryptography and Security (cs.CR); Machine Learning (cs.LG); Statistics Theory (math.ST); Methodology (stat.ME)

[87]  arXiv:2404.16328 [pdf, other]

Title: Distributionally Robust Safe Screening

Authors: Hiroyuki Hanada, Satoshi Akahane, Tatsuya Aoyama, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Taro Murayama, Lee Hanju, Shinya Kojima, Ichiro Takeuchi

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

[88]  arXiv:2404.16560 [pdf, ps, other]

Title: Automated Model Selection for Generalized Linear Models

Authors: Benjamin Schwendinger, Florian Schwendinger, Laura Vana-Gür

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC)

[89]  arXiv:2404.17398 [pdf, other]

Title: Online Policy Learning and Inference by Matrix Completion

Authors: Congyuan Duan, Jingyang Li, Dong Xia

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

[90]  arXiv:2404.17429 [pdf, other]

Title: Separation capacity of linear reservoirs with random connectivity matrix

Authors: Youness Boutaib

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

[91]  arXiv:2404.17442 [pdf, ps, other]

Title: Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets

Authors: Benjamin Dupuis, Paul Viallard, George Deligiannidis, Umut Simsekli

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

[92]  arXiv:2404.17483 [pdf, other]

Title: Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation

Authors: Yoichi Chikahara, Kansei Ushiyama

Comments: Accepted to the 40th Conference on Uncertainty in Artificial Intelligence (UAI2024). 14 pages, 4 figures

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

[93]  arXiv:2404.17644 [pdf, other]

Title: A Conditional Independence Test in the Presence of Discretization

Authors: Boyang Sun, Yu Yao, Huangyuan Hao, Yumou Qiu, Kun Zhang

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

[94]  arXiv:2404.17709 [pdf, other]

Title: Low-rank Matrix Bandits with Heavy-tailed Rewards

Authors: Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee

Comments: The 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024)

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

[95]  arXiv:2404.17856 [pdf, other]

Title: Uncertainty quantification for iterative algorithms in linear models with application to early stopping

Authors: Pierre C. Bellec, Kai Tan

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST); Computation (stat.CO); Methodology (stat.ME)

[96]  arXiv:2404.18233 [pdf, ps, other]

Title: A Note on Asynchronous Challenges: Unveiling Formulaic Bias and Data Loss in the Hayashi-Yoshida Estimator

Authors: Evangelos Georgiadis

Comments: submitted. 15 pages, 1 appendix, 4 figures, 1 table, 1 algo

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Combinatorics (math.CO); Probability (math.PR)

[97]  arXiv:2404.18769 [pdf, other]

Title: Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks

Authors: Fanghui Liu, Leello Dadi, Volkan Cevher

Comments: Accepted by JMLR

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

[98]  arXiv:2404.19073 [pdf, other]

Title: Learning Sparse High-Dimensional Matrix-Valued Graphical Models From Dependent Data

Authors: Jitendra K Tugnait

Comments: 16 pages, 2 figures, 1 table

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Signal Processing (eess.SP)

[99]  arXiv:2404.19157 [pdf, other]

Title: Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks

Authors: Javier Antoran

Comments: PhD Thesis, University of Cambridge

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

[100]  arXiv:2404.19220 [pdf, other]

Title: Regression for matrix-valued data via Kronecker products factorization

Authors: Yin-Jen Chen, Minh Tang

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