Machine Learning

Authors and titles for stat.ML in Mar 2024

[1]  arXiv:2403.00184 [pdf, other]

Title: Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling

Authors: Xumei Xi, Christina Lee Yu, Yudong Chen

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

[2]  arXiv:2403.00233 [pdf, other]

Title: Causal Bandits with General Causal Models and Interventions

Authors: Zirui Yan, Dennis Wei, Dmitriy Katz-Rogozhnikov, Prasanna Sattigeri, Ali Tajer

Comments: 37 pages, 13 figures, conference

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

[3]  arXiv:2403.00258 [pdf, ps, other]

Title: "Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach

Authors: Lingyu Gu, Yongqi Du, Yuan Zhang, Di Xie, Shiliang Pu, Robert C. Qiu, Zhenyu Liao

Comments: 32 pages, 4 figures, and 2 tables. Fixing typos in Theorems 1 and 2 from NeurIPS 2022 proceeding (this https URL)

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

[4]  arXiv:2403.00423 [pdf, other]

Title: Validation of ML-UQ calibration statistics using simulated reference values: a sensitivity analysis

Authors: Pascal Pernot

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Chemical Physics (physics.chem-ph)

[5]  arXiv:2403.00694 [pdf, other]

Title: Defining Expertise: Applications to Treatment Effect Estimation

Authors: Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar

Comments: The 12th International Conference on Learning Representations (ICLR 2024)

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

[6]  arXiv:2403.01318 [pdf, other]

Title: High-Dimensional Tail Index Regression: with An Application to Text Analyses of Viral Posts in Social Media

Authors: Yuya Sasaki, Jing Tao, Yulong Wang

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

[7]  arXiv:2403.01371 [pdf, other]

Title: Large-scale variational Gaussian state-space models

Authors: Matthew Dowling, Yuan Zhao, Il Memming Park

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

[8]  arXiv:2403.01485 [pdf, other]

Title: Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection

Authors: Sam Dauncey, Chris Holmes, Christopher Williams, Fabian Falck

Subjects: Machine Learning (stat.ML); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[9]  arXiv:2403.01571 [pdf, other]

Title: Limits to classification performance by relating Kullback-Leibler divergence to Cohen's Kappa

Authors: L. Crow, S. J. Watts

Comments: Presented at the American Statistical Association Symposium on Data Science and Statistics, St. Louis, USA, May 2023

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

[10]  arXiv:2403.01636 [pdf, other]

Title: Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks

Authors: Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari

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

[11]  arXiv:2403.01673 [pdf, other]

Title: CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables

Authors: Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang

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

[12]  arXiv:2403.01717 [pdf, other]

Title: Soft-constrained Schrodinger Bridge: a Stochastic Control Approach

Authors: Jhanvi Garg, Xianyang Zhang, Quan Zhou

Comments: Made minor changes about the references. 38 pages, 7 figures. Accepted by AISTATS 2024

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

[13]  arXiv:2403.01865 [pdf, other]

Title: Improving generalisation via anchor multivariate analysis

Authors: Homer Durand, Gherardo Varando, Nathan Mankovich, Gustau Camps-Valls

Comments: 21 pages, 15 figures

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

[14]  arXiv:2403.01907 [pdf, ps, other]

Title: Capacity of the Hebbian-Hopfield network associative memory

Authors: Mihailo Stojnic

Subjects: Machine Learning (stat.ML); Disordered Systems and Neural Networks (cond-mat.dis-nn); Information Theory (cs.IT); Machine Learning (cs.LG); Probability (math.PR)

[15]  arXiv:2403.02011 [pdf, other]

Title: Bipartite Graph Variational Auto-Encoder with Fair Latent Representation to Account for Sampling Bias in Ecological Networks

Authors: Emre Anakok, Pierre Barbillon, Colin Fontaine, Elisa Thebault

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Social and Information Networks (cs.SI)

[16]  arXiv:2403.02051 [pdf, other]

Title: Differential Privacy of Noisy (S)GD under Heavy-Tailed Perturbations

Authors: Umut Şimşekli, Mert Gürbüzbalaban, Sinan Yıldırım, Lingjiong Zhu

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

[17]  arXiv:2403.02150 [pdf, other]

Title: Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling

Authors: Pål V. Johnsen, Eivind Bøhn, Sølve Eidnes, Filippo Remonato, Signe Riemer-Sørensen

Comments: Main article with 23 pages including 12 figures and 4 tables. Supplementary File with 11 pages including 9 figures

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

[18]  arXiv:2403.02251 [pdf, other]

Title: A prediction rigidity formalism for low-cost uncertainties in trained neural networks

Authors: Filippo Bigi, Sanggyu Chong, Michele Ceriotti, Federico Grasselli

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

[19]  arXiv:2403.02432 [pdf, other]

Title: On the impact of measure pre-conditionings on general parametric ML models and transfer learning via domain adaptation

Authors: Joaquín Sánchez García

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

[20]  arXiv:2403.02697 [pdf, other]

Title: Noise misleads rotation invariant algorithms on sparse targets

Authors: Manfred K. Warmuth (1), Wojciech Kotłowski (2), Matt Jones (3), Ehsan Amid (1) ((1) Google Inc., (2) Institute of Computing Science, Poznan University of Technology, Poznan, Poland, (3) University of Colorado Boulder, Colorado, USA)

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

[21]  arXiv:2403.03071 [pdf, other]

Title: On a Neural Implementation of Brenier's Polar Factorization

Authors: Nina Vesseron, Marco Cuturi

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

[22]  arXiv:2403.03208 [pdf, other]

Title: Active Statistical Inference

Authors: Tijana Zrnic, Emmanuel J. Candès

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

[23]  arXiv:2403.03233 [pdf, other]

Title: From Displacements to Distributions: A Machine-Learning Enabled Framework for Quantifying Uncertainties in Parameters of Computational Models

Authors: Taylor Roper, Harri Hakula, Troy Butler

Comments: 35 pages

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

[24]  arXiv:2403.03353 [pdf, ps, other]

Title: Hypothesis Spaces for Deep Learning

Authors: Rui Wang, Yuesheng Xu, Mingsong Yan

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Functional Analysis (math.FA)

[25]  arXiv:2403.03361 [pdf, ps, other]

Title: Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problems

Authors: Amaury Gouverneur, Borja Rodríguez-Gálvez, Tobias J. Oechtering, Mikael Skoglund

Comments: 15 pages: 8 of main text and 7 of appendices

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