Papers
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting
Zixin Zhong, Wang Chi Cheung, Vincent Tan
Better depth-width trade-offs for neural networks through the lens of dynamical systems
Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?
Yaniv Blumenfeld, Dar Gilboa, Daniel Soudry
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
Lu Jiang, Di Huang, Mason Liu et al.
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
Dylan Foster, Alexander Rakhlin
Bidirectional Model-based Policy Optimization
Hang Lai, Jian Shen, Weinan Zhang et al.
BINOCULARS for efficient, nonmyopic sequential experimental design
Shali Jiang, Henry Chai, Javier Gonzalez et al.
Bio-Inspired Hashing for Unsupervised Similarity Search
Chaitanya Ryali, John Hopfield, Leopold Grinberg et al.
Bisection-Based Pricing for Repeated Contextual Auctions against Strategic Buyer
Anton Zhiyanov, Alexey Drutsa
Black-box Certification and Learning under Adversarial Perturbations
Hassan Ashtiani, Vinayak Pathak, Ruth Urner
Black-Box Methods for Restoring Monotonicity
Evangelia Gergatsouli, Brendan Lucier, Christos Tzamos
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics
Matthew Hoffman, Yian Ma
Boosted Histogram Transform for Regression
Yuchao Cai, Hanyuan Hang, Hanfang Yang et al.
Boosting Deep Neural Network Efficiency with Dual-Module Inference
Liu Liu, Lei Deng, Zhaodong Chen et al.
Boosting for Control of Dynamical Systems
Naman Agarwal, Nataly Brukhim, Elad Hazan et al.
Boosting Frank-Wolfe by Chasing Gradients
Cyrille Combettes, Sebastian Pokutta
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Zhaohan Daniel Guo, Bernardo Avila Pires, Bilal Piot et al.
Born-Again Tree Ensembles
Thibaut Vidal, Maximilian Schiffer
Bounding the fairness and accuracy of classifiers from population statistics
Sivan Sabato, Elad Yom-Tov
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
Xiaochen Wang, Arash Pakbin, Bobak Mortazavi et al.
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning
Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Yong Guo, Yaofo Chen, Yin Zheng et al.
Bridging the Gap Between f-GANs and Wasserstein GANs
Jiaming Song, Stefano Ermon
Budgeted Online Influence Maximization
Pierre Perrault, Jennifer Healey, Zheng Wen et al.
Calibration, Entropy Rates, and Memory in Language Models
Mark Braverman, Xinyi Chen, Sham Kakade et al.