Papers
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning
Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita et al.
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case
Alina Beygelzimer, David Pal, Balazs Szorenyi et al.
Band-limited Training and Inference for Convolutional Neural Networks
Adam Dziedzic, John Paparrizos, Sanjay Krishnan et al.
Batch Policy Learning under Constraints
Hoang Le, Cameron Voloshin, Yisong Yue
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Jakob Foerster, Francis Song, Edward Hughes et al.
Bayesian Counterfactual Risk Minimization
Ben London, Ted Sandler
Bayesian Deconditional Kernel Mean Embeddings
Kelvin Hsu, Fabio Ramos
Bayesian Generative Active Deep Learning
Toan Tran, Thanh-Toan Do, Ian Reid et al.
Bayesian Joint Spike-and-Slab Graphical Lasso
Zehang Li, Tyler Mccormick, Samuel Clark
Bayesian leave-one-out cross-validation for large data
Måns Magnusson, Michael Andersen, Johan Jonasson et al.
Bayesian Nonparametric Federated Learning of Neural Networks
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh et al.
Bayesian Optimization Meets Bayesian Optimal Stopping
Zhongxiang Dai, Haibin Yu, Bryan Kian Hsiang Low et al.
Bayesian Optimization of Composite Functions
Raul Astudillo, Peter Frazier
BayesNAS: A Bayesian Approach for Neural Architecture Search
Hongpeng Zhou, Minghao Yang, Jun Wang et al.
Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously
Julian Zimmert, Haipeng Luo, Chen-Yu Wei
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
Jordan Awan, Ana Kenney, Matthew Reimherr et al.
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning
Asa Cooper Stickland, Iain Murray
Better generalization with less data using robust gradient descent
Matthew Holland, Kazushi Ikeda
Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio
Kaito Fujii, Shinsaku Sakaue
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables
Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel et al.
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior
Fadhel Ayed, Juho Lee, Francois Caron
Bias Also Matters: Bias Attribution for Deep Neural Network Explanation
Shengjie Wang, Tianyi Zhou, Jeff Bilmes
Bilinear Bandits with Low-rank Structure
Kwang-Sung Jun, Rebecca Willett, Stephen Wright et al.
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables
Friso Kingma, Pieter Abbeel, Jonathan Ho
Blended Conditonal Gradients
Gábor Braun, Sebastian Pokutta, Dan Tu et al.