Papers
Semi-Supervised Prediction-Constrained Topic Models
Michael Hughes, Gabriel Hope, Leah Weiner et al.
Approximate Ranking from Pairwise Comparisons
Reinhard Heckel, Max Simchowitz, Kannan Ramchandran et al.
Learning to Round for Discrete Labeling Problems
Pritish Mohapatra, Jawahar C.V., M Pawan Kumar
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs
Lawrence Murray, Daniel Lundén, Jan Kudlicka et al.
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization
Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou et al.
Statistical Sparse Online Regression: A Diffusion Approximation Perspective
Jianqing Fan, Wenyan Gong, Chris Junchi Li et al.
Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models
Atsushi Nitanda, Taiji Suzuki
Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression
Mathurin Massias, Olivier Fercoq, Alexandre Gramfort et al.
SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning
Xu Hu, Guillaume Obozinski
Statistically Efficient Estimation for Non-Smooth Probability Densities
Masaaki Imaizumi, Takanori Maehara, Yuichi Yoshida
Variational Sequential Monte Carlo
Christian Naesseth, Scott Linderman, Rajesh Ranganath et al.
Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach
Achintya Kundu, Francis Bach, Chiranjib Bhattacharya
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures
Tomi Silander, Janne Leppä-aho, Elias Jääsaari et al.
Random Subspace with Trees for Feature Selection Under Memory Constraints
Antonio Sutera, Célia Châtel, Gilles Louppe et al.
Actor-Critic Fictitious Play in Simultaneous Move Multistage Games
Julien Perolat, Bilal Piot, Olivier Pietquin
Tree-based Bayesian Mixture Model for Competing Risks
Alexis Bellot, Mihaela Schaar
Cause-Effect Inference by Comparing Regression Errors
Patrick Bloebaum, Dominik Janzing, Takashi Washio et al.
Robust Maximization of Non-Submodular Objectives
Ilija Bogunovic, Junyao Zhao, Volkan Cevher
Smooth and Sparse Optimal Transport
Mathieu Blondel, Vivien Seguy, Antoine Rolet
Community Detection in Hypergraphs: Optimal Statistical Limit and Efficient Algorithms
I Chien, Chung-Yi Lin, I-Hsiang Wang
Human Interaction with Recommendation Systems
Sven Schmit, Carlos Riquelme
Contextual Bandits with Stochastic Experts
Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai
A fully adaptive algorithm for pure exploration in linear bandits
Liyuan Xu, Junya Honda, Masashi Sugiyama
Best arm identification in multi-armed bandits with delayed feedback
Aditya Grover, Todor Markov, Peter Attia et al.