Papers
Bellman-consistent Pessimism for Offline Reinforcement Learning
Tengyang Xie, Ching-An Cheng, Nan Jiang et al.
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
Chi Jin, Qinghua Liu, Sobhan Miryoosefi
Beltrami Flow and Neural Diffusion on Graphs
Benjamin Chamberlain, James Rowbottom, Davide Eynard et al.
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
Ke Wang, Vidya Muthukumar, Christos Thrampoulidis
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He, Zhewei Wei, zengfeng Huang et al.
Best-case lower bounds in online learning
Cristóbal Guzmán, Nishant Mehta, Ali Mortazavi
Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel
Yixin Chen, Tonmoy Dey, Alan Kuhnle
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification
Shiqi Wang, Huan Zhang, Kaidi Xu et al.
Better Algorithms for Individually Fair $k$-Clustering
Maryam Negahbani, Deeparnab Chakrabarty
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
Lue Tao, Lei Feng, Jinfeng Yi et al.
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game
Alexander Reisach, Christof Seiler, Sebastian Weichwald
Beyond Bandit Feedback in Online Multiclass Classification
Dirk van der Hoeven, Federico Fusco, Nicolò Cesa-Bianchi
Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning
Ekdeep S Lubana, Robert Dick, Hidenori Tanaka
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
Youngseog Chung, Willie Neiswanger, Ian Char et al.
Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation
Robert A Vandermeulen, Antoine Ledent
Beyond the Signs: Nonparametric Tensor Completion via Sign Series
Chanwoo Lee, Miaoyan Wang
Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization
Gaspard Beugnot, Julien Mairal, Alessandro Rudi
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
Christoph Dann, Teodor Vanislavov Marinov, Mehryar Mohri et al.
Bias and variance of the Bayesian-mean decoder
Arthur Prat-Carrabin, Michael Woodford
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
Hannah Rose Kirk, Yennie Jun, Filippo Volpin et al.
Biological learning in key-value memory networks
Danil Tyulmankov, Ching Fang, Annapurna Vadaparty et al.
Black Box Probabilistic Numerics
Onur Teymur, Christopher Foley, Philip Breen et al.
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
Mingcong Liu, Qiang Li, Zekui Qin et al.
Blending Anti-Aliasing into Vision Transformer
Shengju Qian, Hao Shao, Yi Zhu et al.
BNS: Building Network Structures Dynamically for Continual Learning
Qi Qin, Wenpeng Hu, Han Peng et al.