Papers
4,122 papers found
A Unified Approach to Controlling Implicit Regularization via Mirror Descent
Haoyuan Sun, Khashayar Gatmiry, Kwangjun Ahn et al.
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami et al.
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
Wei-Fang Sun, Cheng-Kuang Lee, Simon See et al.
A Unified Framework for Optimization-Based Graph Coarsening
Manoj Kumar, Anurag Sharma, Sandeep Kumar
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds
Ben Chugg, Hongjian Wang, Aaditya Ramdas
A Unified Theory of Diversity in Ensemble Learning
Danny Wood, Tingting Mu, Andrew M. Webb et al.
AutoKeras: An AutoML Library for Deep Learning
Haifeng Jin, François Chollet, Qingquan Song et al.
Autoregressive Networks
Binyan Jiang, Jialiang Li, Qiwei Yao
Avalanche: A PyTorch Library for Deep Continual Learning
Antonio Carta, Lorenzo Pellegrini, Andrea Cossu et al.
Bagging in overparameterized learning: Risk characterization and risk monotonization
Pratik Patil, Jin-Hong Du, Arun Kumar Kuchibhotla
Bandit problems with fidelity rewards
Gábor Lugosi, Ciara Pike-Burke, Pierre-André Savalle
Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors
Michail Spitieris, Ingelin Steinsland
Bayesian Data Selection
Eli N. Weinstein, Jeffrey W. Miller
Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph
Leo L. Duan, David B. Dunson
Bayesian Spiked Laplacian Graphs
Leo L Duan, George Michailidis, Mingzhou Ding
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees
William J. Wilkinson, Simo Särkkä, Arno Solin
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu et al.
Benign overfitting in ridge regression
Alexander Tsigler, Peter L. Bartlett
Benign Overfitting of Constant-Stepsize SGD for Linear Regression
Difan Zou, Jingfeng Wu, Vladimir Braverman et al.
Beyond Spectral Gap: The Role of the Topology in Decentralized Learning
Thijs Vogels, Hadrien Hendrikx, Martin Jaggi
Beyond the Golden Ratio for Variational Inequality Algorithms
Ahmet Alacaoglu, Axel Böhm, Yura Malitsky
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
Boosting Multi-agent Reinforcement Learning via Contextual Prompting
Yue Deng, Zirui Wang, Xi Chen et al.
Buffered Asynchronous SGD for Byzantine Learning
Yi-Rui Yang, Wu-Jun Li