Papers
Automatic Shortcut Removal for Self-Supervised Representation Learning
Matthias Minderer, Olivier Bachem, Neil Houlsby et al.
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real, Chen Liang, David So et al.
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
Esther Rolf, Max Simchowitz, Sarah Dean et al.
Bandits for BMO Functions
Tianyu Wang, Cynthia Rudin
Bandits with Adversarial Scaling
Thodoris Lykouris, Vahab Mirrokni, Renato Paes Leme
Batch Reinforcement Learning with Hyperparameter Gradients
Byungjun Lee, Jongmin Lee, Peter Vrancx et al.
Batch Stationary Distribution Estimation
Junfeng Wen, Bo Dai, Lihong Li et al.
Bayesian Differential Privacy for Machine Learning
Aleksei Triastcyn, Boi Faltings
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
Steven Kleinegesse, Michael U. Gutmann
Bayesian Graph Neural Networks with Adaptive Connection Sampling
Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki et al.
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
Csaba Toth, Harald Oberhauser
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
Binxin Ru, Ahsan Alvi, Vu Nguyen et al.
Bayesian Sparsification of Deep C-valued Networks
Ivan Nazarov, Evgeny Burnaev
Being Bayesian about Categorical Probability
Taejong Joo, Uijung Chung, Min-Gwan Seo
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Agustinus Kristiadi, Matthias Hein, Philipp Hennig
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