Papers
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models
Ibrahim M Alabdulmohsin, Mario Lucic
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
Prashant Khanduri, Siliang Zeng, Mingyi Hong et al.
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
Xin Liu, Bin Li, Pengyi Shi et al.
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
Tianpei Yang, Weixun Wang, Hongyao Tang et al.
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers
Ramakrishna Vedantam, David Lopez-Paz, David J Schwab
An Empirical Study of Adder Neural Networks for Object Detection
Xinghao Chen, Chang Xu, Minjing Dong et al.
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
Shih-Yang Su, Frank Yu, Michael Zollhoefer et al.
An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning
Blake E Woodworth, Nathan Srebro
An Exact Characterization of the Generalization Error for the Gibbs Algorithm
Gholamali Aminian, Yuheng Bu, Laura Toni et al.
An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks
Shashank Rajput, Kartik Sreenivasan, Dimitris Papailiopoulos et al.
An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap
Yuanhao Wang, Ruosong Wang, Sham Kakade
An Image is Worth More Than a Thousand Words: Towards Disentanglement in The Wild
Aviv Gabbay, Niv Cohen, Yedid Hoshen
An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders
Xinmeng Huang, Kun Yuan, Xianghui Mao et al.
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
Anastasiia Koloskova, Tao Lin, Sebastian U Stich
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence
Agustinus Kristiadi, Matthias Hein, Philipp Hennig
An Information-theoretic Approach to Distribution Shifts
Marco Federici, Ryota Tomioka, Patrick Forré
A No-go Theorem for Robust Acceleration in the Hyperbolic Plane
Linus Hamilton, Ankur Moitra
A Non-commutative Extension of Lee-Seung's Algorithm for Positive Semidefinite Factorizations
Yong Sheng Soh, Antonios Varvitsiotis
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives
Qi Qi, Zhishuai Guo, Yi Xu et al.
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
Zihang Meng, Rudrasis Chakraborty, Vikas Singh
A nonparametric method for gradual change problems with statistical guarantees
Lizhen Nie, Dan Nicolae
A Normative and Biologically Plausible Algorithm for Independent Component Analysis
Yanis Bahroun, Dmitri B. Chklovskii, Anirvan Sengupta
A Note on Sparse Generalized Eigenvalue Problem
Yunfeng Cai, Guanhua Fang, Ping Li
A novel notion of barycenter for probability distributions based on optimal weak mass transport
Elsa Cazelles, Felipe Tobar, Joaquin Fontbona