Papers
4,122 papers found
A minimax optimal approach to high-dimensional double sparse linear regression
Yanhang Zhang, Zhifan Li, Shixiang Liu et al.
AMLB: an AutoML Benchmark
Pieter Gijsbers, Marcos L. P. Bueno, Stefan Coors et al.
A Multilabel Classification Framework for Approximate Nearest Neighbor Search
Ville Hyvönen, Elias Jääsaari, Teemu Roos
An Algorithmic Framework for the Optimization of Deep Neural Networks Architectures and Hyperparameters
Julie Keisler, El-Ghazali Talbi, Sandra Claudel et al.
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization
Guy Kornowski, Ohad Shamir
An Analysis of Quantile Temporal-Difference Learning
Mark Rowland, Rémi Munos, Mohammad Gheshlaghi Azar et al.
An Asymptotic Study of Discriminant and Vote-Averaging Schemes for Randomly-Projected Linear Discriminants
Lama B. Niyazi, Abla Kammoun, Hayssam Dahrouj et al.
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates
Jessie Finocchiaro, Rafael M. Frongillo, Bo Waggoner
An Entropy-Based Model for Hierarchical Learning
Amir R. Asadi
A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees
Brent A. Wallace, Jennie Si
An Inexact Projected Regularized Newton Method for Fused Zero-norms Regularization Problems
Yuqia Wu, Shaohua Pan, Xiaoqi Yang
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification
Nicolas Garcia Trillos, Matt Jacobs, Jakwang Kim et al.
A Note on Entrywise Consistency for Mixed-data Matrix Completion
Yunxiao Chen, Xiaoou Li
A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks
Yuxin Sun, Dong Lao, Anthony Yezzi et al.
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC
Marko Järvenpää, Jukka Corander
Approximate Information Tests on Statistical Submanifolds
Michael W. Trosset, Carey E. Priebe
A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity
Jiang Hu, Kangkang Deng, Jiayuan Wu et al.
A Rainbow in Deep Network Black Boxes
Florentin Guth, Brice Ménard, Gaspar Rochette et al.
A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness
Yuze Han, Xiang Li, Shiyun Lin et al.
A Semi-parametric Estimation of Personalized Dose-response Function Using Instrumental Variables
Wei Luo, Yeying Zhu, Xuekui Zhang et al.
Assessing the Overall and Partial Causal Well-Specification of Nonlinear Additive Noise Models
Christoph Schultheiss, Peter Bühlmann
A Statistical Experimental Design Method for Constructing Deterministic Sensing Matrices for Compressed Sensing
Youran Qi, Xu He, Tzu-Hsiang Hung et al.
A Survey on Multi-player Bandits
Etienne Boursier, Vianney Perchet
A tensor factorization model of multilayer network interdependence
Izabel Aguiar, Dane Taylor, Johan Ugander
A Variational Approach to Bayesian Phylogenetic Inference
Cheng Zhang, Frederick A. Matsen IV