Papers
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning
Jiatai Huang, Yan Dai, Longbo Huang
Bayesian Design Principles for Frequentist Sequential Learning
Yunbei Xu, Assaf Zeevi
Bayesian Estimation of Differential Privacy
Santiago Zanella-Beguelin, Lukas Wutschitz, Shruti Tople et al.
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
Qihan Ren, Huiqi Deng, Yunuo Chen et al.
Bayesian online change point detection with Hilbert space approximate Student-t process
Jeremy Sellier, Petros Dellaportas
Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process
Zhibin Duan, Xinyang Liu, Yudi Su et al.
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
Wenhao Ding, Tong Che, Ding Zhao et al.
Bayes-optimal Learning of Deep Random Networks of Extensive-width
Hugo Cui, Florent Krzakala, Lenka Zdeborova
Beam Tree Recursive Cells
Jishnu Ray Chowdhury, Cornelia Caragea
BEATs: Audio Pre-Training with Acoustic Tokenizers
Sanyuan Chen, Yu Wu, Chengyi Wang et al.
Behavior Contrastive Learning for Unsupervised Skill Discovery
Rushuai Yang, Chenjia Bai, Hongyi Guo et al.
Benign Overfitting in Deep Neural Networks under Lazy Training
Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos et al.
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks
Yiwen Kou, Zixiang Chen, Yuanzhou Chen et al.
Best Arm Identification in Multi-Agent Multi-Armed Bandits
Filippo Vannella, Alexandre Proutiere, Jaeseong Jeong
Best of Both Worlds Policy Optimization
Christoph Dann, Chen-Yu Wei, Julian Zimmert
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang, Tianyu Pang, Chao Du et al.
Better Training of GFlowNets with Local Credit and Incomplete Trajectories
Ling Pan, Nikolay Malkin, Dinghuai Zhang et al.
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic
Wesley A Suttle, Amrit Bedi, Bhrij Patel et al.
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
Erlin Pan, Zhao Kang
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
Christian Tomani, Futa Kai Waseda, Yuesong Shen et al.
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization
Zhengmian Hu, Xidong Wu, Heng Huang
Beyond Reward: Offline Preference-guided Policy Optimization
Yachen Kang, Diyuan Shi, Jinxin Liu et al.
Beyond the Edge of Stability via Two-step Gradient Updates
Lei Chen, Joan Bruna
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
Simone Bombari, Shayan Kiyani, Marco Mondelli
Beyond Uniform Lipschitz Condition in Differentially Private Optimization
Rudrajit Das, Satyen Kale, Zheng Xu et al.