Papers
The Description Length of Deep Learning models
Léonard Blier, Yann Ollivier
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
Borja Balle, Gilles Barthe, Marco Gaboardi
Mesh-TensorFlow: Deep Learning for Supercomputers
Noam Shazeer, Youlong Cheng, Niki Parmar et al.
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes
Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
Confounding-Robust Policy Improvement
Nathan Kallus, Angela Zhou
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Sara Magliacane, Thijs van Ommen, Tom Claassen et al.
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
Edward Smith, Scott Fujimoto, David Meger
Unsupervised Text Style Transfer using Language Models as Discriminators
Zichao Yang, Zhiting Hu, Chris Dyer et al.
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates
Kirill Struminsky, Simon Lacoste-Julien, Anton Osokin
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector
Amit Zohar, Lior Wolf
Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes
Junqi Tang, Mohammad Golbabaee, Francis Bach et al.
Multi-Layered Gradient Boosting Decision Trees
Ji Feng, Yang Yu, Zhi-Hua Zhou
DropMax: Adaptive Variational Softmax
Hae Beom Lee, Juho Lee, Saehoon Kim et al.
PAC-Bayes bounds for stable algorithms with instance-dependent priors
Omar Rivasplata, Emilio Parrado-Hernandez, John S Shawe-Taylor et al.
Coordinate Descent with Bandit Sampling
Farnood Salehi, Patrick Thiran, Elisa Celis
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates
Krishnakumar Balasubramanian, Saeed Ghadimi
Learning from discriminative feature feedback
Sanjoy Dasgupta, Akansha Dey, Nicholas Roberts et al.
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models
Minjia Zhang, Wenhan Wang, Xiaodong Liu et al.
Understanding Batch Normalization
Nils Bjorck, Carla P. Gomes, Bart Selman et al.
Scaling provable adversarial defenses
Eric Wong, Frank Schmidt, Jan Hendrik Metzen et al.
Improved Algorithms for Collaborative PAC Learning
Huy Nguyen, Lydia Zakynthinou
Playing hard exploration games by watching YouTube
Yusuf Aytar, Tobias Pfaff, David Budden et al.
Graphical model inference: Sequential Monte Carlo meets deterministic approximations
Fredrik Lindsten, Jouni Helske, Matti Vihola
Constrained Cross-Entropy Method for Safe Reinforcement Learning
Min Wen, Ufuk Topcu