Papers
8,340 papers found
A Law of Robustness beyond Isoperimetry
Yihan Wu, Heng Huang, Hongyang Zhang
Algorithmic Collective Action in Machine Learning
Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner et al.
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
Anant Raj, Lingjiong Zhu, Mert Gurbuzbalaban et al.
Algorithms for bounding contribution for histogram estimation under user-level privacy
Yuhan Liu, Ananda Theertha Suresh, Wennan Zhu et al.
Aligning Language Models with Preferences through $f$-divergence Minimization
Dongyoung Go, Tomasz Korbak, Germàn Kruszewski et al.
All in a Row: Compressed Convolution Networks for Graphs
Junshu Sun, Shuhui Wang, Xinzhe Han et al.
Alternately Optimized Graph Neural Networks
Haoyu Han, Xiaorui Liu, Haitao Mao et al.
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations
Chao Li, Junhua Zeng, Chunmei Li et al.
A Mathematical Model for Curriculum Learning for Parities
Elisabetta Cornacchia, Elchanan Mossel
A Model-Based Method for Minimizing CVaR and Beyond
Si Yi Meng, Robert M. Gower
A Model-free Closeness-of-influence Test for Features in Supervised Learning
Mohammad Mehrabi, Ryan A. Rossi
A Modern Look at the Relationship between Sharpness and Generalization
Maksym Andriushchenko, Francesco Croce, Maximilian Müller et al.
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning
Woojun Kim, Youngchul Sung
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
Xuchen You, Shouvanik Chakrabarti, Boyang Chen et al.
Analyzing Diffusion as Serial Reproduction
Raja Marjieh, Ilia Sucholutsky, Thomas A Langlois et al.
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano
Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi
Anchor Sampling for Federated Learning with Partial Client Participation
Feijie Wu, Song Guo, Zhihao Qu et al.
A Nearly-Optimal Bound for Fast Regression with $\ell_∞$ Guarantee
Zhao Song, Mingquan Ye, Junze Yin et al.
A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints
Ming Shi, Yingbin Liang, Ness Shroff
An Effective Meaningful Way to Evaluate Survival Models
Shi-Ang Qi, Neeraj Kumar, Mahtab Farrokh et al.
A Neural PDE Solver with Temporal Stencil Modeling
Zhiqing Sun, Yiming Yang, Shinjae Yoo
A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree
Yury Elkin, Vitaliy Kurlin
An Information-Theoretic Analysis of Nonstationary Bandit Learning
Seungki Min, Daniel Russo