Machine Learning

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

[76]  arXiv:2403.10288 [pdf, other]

Title: Rough Transformers for Continuous and Efficient Time-Series Modelling

Authors: Fernando Moreno-Pino, Álvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea

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

[77]  arXiv:2403.10368 [pdf, other]

Title: Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification

Authors: Alberto Carlevaro, Teodoro Alamo Cantarero, Fabrizio Dabbene, Maurizio Mongelli

Comments: 19 pages, 6 figures, journal paper

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

[78]  arXiv:2403.10578 [pdf, other]

Title: Generative Modelling of Stochastic Rotating Shallow Water Noise

Authors: Dan Crisan, Oana Lang, Alexander Lobbe

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Dynamical Systems (math.DS); Numerical Analysis (math.NA); Fluid Dynamics (physics.flu-dyn)

[79]  arXiv:2403.10671 [pdf, other]

Title: Hessian-Free Laplace in Bayesian Deep Learning

Authors: James McInerney, Nathan Kallus

Comments: 10 pages, 5 figures

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

[80]  arXiv:2403.10763 [pdf, other]

Title: A Primal-Dual Algorithm for Faster Distributionally Robust Optimization

Authors: Ronak Mehta, Jelena Diakonikolas, Zaid Harchaoui

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

[81]  arXiv:2403.10859 [pdf, other]

Title: Neural-Kernel Conditional Mean Embeddings

Authors: Eiki Shimizu, Kenji Fukumizu, Dino Sejdinovic

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

[82]  arXiv:2403.10929 [pdf, other]

Title: Function-space Parameterization of Neural Networks for Sequential Learning

Authors: Aidan Scannell, Riccardo Mereu, Paul Chang, Ella Tamir, Joni Pajarinen, Arno Solin

Comments: 29 pages, 8 figures, Published in The Twelfth International Conference on Learning Representations

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

[83]  arXiv:2403.10946 [pdf, other]

Title: The Fallacy of Minimizing Local Regret in the Sequential Task Setting

Authors: Ziping Xu, Kelly W. Zhang, Susan A. Murphy

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

[84]  arXiv:2403.11125 [pdf, ps, other]

Title: Machine learning-based system reliability analysis with Gaussian Process Regression

Authors: Lisang Zhou, Ziqian Luo, Xueting Pan

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

[85]  arXiv:2403.11175 [pdf, ps, other]

Title: Prior-dependent analysis of posterior sampling reinforcement learning with function approximation

Authors: Yingru Li, Zhi-Quan Luo

Comments: Published in the 27th International Conference on Artificial Intelligence and Statistics (AISTATS)

Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Information Theory (cs.IT); Machine Learning (cs.LG); Statistics Theory (math.ST)

[86]  arXiv:2403.11407 [pdf, other]

Title: Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors

Authors: Yazid Janati, Alain Durmus, Eric Moulines, Jimmy Olsson

Comments: preprint

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

[87]  arXiv:2403.11532 [pdf, other]

Title: Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?)

Authors: Paul Novello, Joseba Dalmau, Léo Andeol

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

[88]  arXiv:2403.11687 [pdf, other]

Title: Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates

Authors: Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo

Comments: ICML 2024. Code at github.com/prolearner/nonsmooth_implicit_diff

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

[89]  arXiv:2403.11841 [pdf, other]

Title: Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data

Authors: Danyang Wang, Chengchun Shi, Shikai Luo, Will Wei Sun

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

[90]  arXiv:2403.12158 [pdf, ps, other]

Title: Variational Approach for Efficient KL Divergence Estimation in Dirichlet Mixture Models

Authors: Samyajoy Pal, Christian Heumann

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

[91]  arXiv:2403.12187 [pdf, ps, other]

Title: Approximation of RKHS Functionals by Neural Networks

Authors: Tian-Yi Zhou, Namjoon Suh, Guang Cheng, Xiaoming Huo

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

[92]  arXiv:2403.12367 [pdf, other]

Title: Semisupervised score based matching algorithm to evaluate the effect of public health interventions

Authors: Hongzhe Zhang, Jiasheng Shi, Jing Huang

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

[93]  arXiv:2403.12729 [pdf, other]

Title: Posterior Uncertainty Quantification in Neural Networks using Data Augmentation

Authors: Luhuan Wu, Sinead Williamson

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

[94]  arXiv:2403.12732 [pdf, other]

Title: Tighter Confidence Bounds for Sequential Kernel Regression

Authors: Hamish Flynn, David Reeb

Comments: 22 pages, 7 figures

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

[95]  arXiv:2403.13117 [pdf, other]

Title: Optimal Flow Matching: Learning Straight Trajectories in Just One Step

Authors: Nikita Kornilov, Petr Mokrov, Alexander Gasnikov, Alexander Korotin

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

[96]  arXiv:2403.13141 [pdf, other]

Title: Function Trees: Transparent Machine Learning

Authors: Jerome H. Friedman

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

[97]  arXiv:2403.13178 [pdf, other]

Title: Fast Value Tracking for Deep Reinforcement Learning

Authors: Frank Shih, Faming Liang

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

[98]  arXiv:2403.13286 [pdf, other]

Title: A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs

Authors: Yun Wang, Chrysanthi Kosyfaki, Sihem Amer-Yahia, Reynold Cheng

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

[99]  arXiv:2403.13300 [pdf, other]

Title: Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression

Authors: Lu Zou, Liang Ding

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

[100]  arXiv:2403.13565 [pdf, other]

Title: AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression

Authors: Zelin He, Ying Sun, Jingyuan Liu, Runze Li

Comments: Technical Report

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