Papers
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren, Cunjun Yu, shunan sheng et al.
Bandit Linear Control
Asaf Cassel, Tomer Koren
BanditPAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits
Mo Tiwari, Martin J Zhang, James Mayclin et al.
Bandit Samplers for Training Graph Neural Networks
Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang et al.
Barking up the right tree: an approach to search over molecule synthesis DAGs
John Bradshaw, Brooks Paige, Matt J Kusner et al.
Batched Coarse Ranking in Multi-Armed Bandits
Nikolai Karpov, Qin Zhang
Batch normalization provably avoids ranks collapse for randomly initialised deep networks
Hadi Daneshmand, Jonas Kohler, Francis R. Bach et al.
Baxter Permutation Process
Masahiro Nakano, Akisato Kimura, Takeshi Yamada et al.
Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class
Mingyuan Zhang, Shivani Agarwal
Bayesian Attention Modules
Xinjie Fan, Shujian Zhang, Bo Chen et al.
Bayesian Bits: Unifying Quantization and Pruning
Mart van Baalen, Christos Louizos, Markus Nagel et al.
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks
Junsouk Choi, Robert Chapkin, Yang Ni
Bayesian Deep Ensembles via the Neural Tangent Kernel
Bobby He, Balaji Lakshminarayanan, Yee Whye Teh
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
Andrew G Wilson, Pavel Izmailov
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
Massimiliano Patacchiola, Jack Turner, Elliot J. Crowley et al.
Bayesian Multi-type Mean Field Multi-agent Imitation Learning
Fan Yang, Alina Vereshchaka, Changyou Chen et al.
Bayesian Optimization for Iterative Learning
Vu Nguyen, Sebastian Schulze, Michael Osborne
Bayesian Optimization of Risk Measures
Sait Cakmak, Raul Astudillo Marban, Peter Frazier et al.
Bayesian Probabilistic Numerical Integration with Tree-Based Models
Harrison Zhu, Xing Liu, Ruya Kang et al.
Bayesian Pseudocoresets
Dionysis Manousakas, Zuheng Xu, Cecilia Mascolo et al.
Bayesian Robust Optimization for Imitation Learning
Daniel Brown, Scott Niekum, Marek Petrik
BayReL: Bayesian Relational Learning for Multi-omics Data Integration
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield et al.
Belief-Dependent Macro-Action Discovery in POMDPs using the Value of Information
Genevieve Flaspohler, Nicholas A. Roy, John W. Fisher III