Papers
4,122 papers found
On Learning Rates and Schrödinger Operators
Bin Shi, Weijie Su, Michael I. Jordan
Online Non-stochastic Control with Partial Feedback
Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Online Optimization over Riemannian Manifolds
Xi Wang, Zhipeng Tu, Yiguang Hong et al.
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval
Yan Shuo Tan, Roman Vershynin
On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results
Marcelo Arenas, Pablo Barcelo, Leopoldo Bertossi et al.
On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size
Xiaoyu Wang, Ya-xiang Yuan
On the Dynamics Under the Unhinged Loss and Beyond
Xiong Zhou, Xianming Liu, Hanzhang Wang et al.
On the geometry of Stein variational gradient descent
Andrew Duncan, Nikolas Nüsken, Lukasz Szpruch
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure
Yunhua Xiang, Tianyu Zhang, Xu Wang et al.
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity
Rodrigue Siry, Ryan Webster, Loic Simon et al.
On Tilted Losses in Machine Learning: Theory and Applications
Tian Li, Ahmad Beirami, Maziar Sanjabi et al.
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error
Quang Minh Nguyen, Hoang H. Nguyen, Yi Zhou et al.
Operator learning with PCA-Net: upper and lower complexity bounds
Samuel Lanthaler
Optimal Convergence Rates for Distributed Nystroem Approximation
Jian Li, Yong Liu, Weiping Wang
Optimal Parameter-Transfer Learning by Semiparametric Model Averaging
Xiaonan Hu, Xinyu Zhang
Optimal Strategies for Reject Option Classifiers
Vojtech Franc, Daniel Prusa, Vaclav Voracek
Optimizing ROC Curves with a Sort-Based Surrogate Loss for Binary Classification and Changepoint Detection
Jonathan Hillman, Toby Dylan Hocking
Outlier-Robust Subsampling Techniques for Persistent Homology
Bernadette J. Stolz
Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning
Xingdong Feng, Yuling Jiao, Lican Kang et al.
PAC-learning for Strategic Classification
Ravi Sundaram, Anil Vullikanti, Haifeng Xu et al.
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin et al.
Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set
Gabriel Laberge, Yann Pequignot, Alexandre Mathieu et al.