Papers
PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification
Ian En-Hsu Yen, Xiangru Huang, Pradeep Ravikumar et al.
Noisy Activation Functions
Caglar Gulcehre, Marcin Moczulski, Misha Denil et al.
Slice Sampling on Hamiltonian Trajectories
Benjamin Bloem-Reddy, John Cunningham
Inference Networks for Sequential Monte Carlo in Graphical Models
Brooks Paige, Frank Wood
Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series
Yunseong Hwang, Anh Tong, Jaesik Choi
Learning Representations for Counterfactual Inference
Fredrik Johansson, Uri Shalit, David Sontag
Correcting Forecasts with Multifactor Neural Attention
Matthew Riemer, Aditya Vempaty, Flavio Calmon et al.
Stochastic Discrete Clenshaw-Curtis Quadrature
Nico Piatkowski, Katharina Morik
Group Equivariant Convolutional Networks
Taco Cohen, Max Welling
Horizontally Scalable Submodular Maximization
Mario Lucic, Olivier Bachem, Morteza Zadimoghaddam et al.
Controlling the distance to a Kemeny consensus without computing it
Yunlong Jiao, Anna Korba, Eric Sibony
Model-Free Trajectory Optimization for Reinforcement Learning
Riad Akrour, Gerhard Neumann, Hany Abdulsamad et al.
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
Jelena Luketina, Mathias Berglund, Klaus Greff et al.
Shifting Regret, Mirror Descent, and Matrices
Andras Gyorgy, Csaba Szepesvari
PHOG: Probabilistic Model for Code
Pavol Bielik, Veselin Raychev, Martin Vechev
Power of Ordered Hypothesis Testing
Lihua Lei, William Fithian
Near Optimal Behavior via Approximate State Abstraction
David Abel, David Hershkowitz, Michael Littman
Learning Mixtures of Plackett-Luce Models
Zhibing Zhao, Peter Piech, Lirong Xia
Partition Functions from Rao-Blackwellized Tempered Sampling
David Carlson, Patrick Stinson, Ari Pakman et al.
Energetic Natural Gradient Descent
Philip Thomas, Bruno Castro Silva, Christoph Dann et al.
Fast Algorithms for Segmented Regression
Jayadev Acharya, Ilias Diakonikolas, Jerry Li et al.
Epigraph projections for fast general convex programming
Po-Wei Wang, Matt Wytock, Zico Kolter
Provable Algorithms for Inference in Topic Models
Sanjeev Arora, Rong Ge, Frederic Koehler et al.
Fixed Point Quantization of Deep Convolutional Networks
Darryl Lin, Sachin Talathi, Sreekanth Annapureddy
Domain Adaptation with Conditional Transferable Components
Mingming Gong, Kun Zhang, Tongliang Liu et al.