Papers
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar Bhadresh Shah, Dengyong Zhou
Bidirectional Recurrent Neural Networks as Generative Models
Mathias Berglund, Tapani Raiko, Mikko Honkala et al.
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models
Theodoros Tsiligkaridis, Theodoros Tsiligkaridis, Keith Forsythe
Regret-Based Pruning in Extensive-Form Games
Noam Brown, Tuomas Sandholm
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution
Yan Huang, Wei Wang, Liang Wang
Robust PCA with compressed data
Wooseok Ha, Rina Foygel Barber
Distributed Submodular Cover: Succinctly Summarizing Massive Data
Baharan Mirzasoleiman, Amin Karbasi, Ashwinkumar Badanidiyuru et al.
A Universal Catalyst for First-Order Optimization
Hongzhou Lin, Julien Mairal, Zaid Harchaoui
Finite-Time Analysis of Projected Langevin Monte Carlo
Sebastien Bubeck, Ronen Eldan, Joseph Lehec
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien, Martin Jaggi
Fast, Provable Algorithms for Isotonic Regression in all L_p-norms
Rasmus Kyng, Anup Rao, Sushant Sachdeva
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma, Tim Salimans, Max Welling
Tractable Learning for Complex Probability Queries
Jessa Bekker, Jesse Davis, Arthur Choi et al.
Generalization in Adaptive Data Analysis and Holdout Reuse
Cynthia Dwork, Vitaly Feldman, Moritz Hardt et al.
Deep Knowledge Tracing
Chris Piech, Jonathan Bassen, Jonathan Huang et al.
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
François-Xavier Briol, Chris Oates, Mark Girolami et al.
Submodular Hamming Metrics
Jennifer A Gillenwater, Rishabh K Iyer, Bethany Lusch et al.
Learning to Transduce with Unbounded Memory
Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman et al.
Learning Causal Graphs with Small Interventions
Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G Dimakis et al.
Unsupervised Learning by Program Synthesis
Kevin Ellis, Armando Solar-Lezama, Josh Tenenbaum
A Recurrent Latent Variable Model for Sequential Data
Junyoung Chung, Kyle Kastner, Laurent Dinh et al.
Fast Two-Sample Testing with Analytic Representations of Probability Measures
Kacper P Chwialkowski, Aaditya Ramdas, Dino Sejdinovic et al.
Parallel Correlation Clustering on Big Graphs
Xinghao Pan, Dimitris Papailiopoulos, Samet Oymak et al.
Subset Selection by Pareto Optimization
Chao Qian, Yang Yu, Zhi-Hua Zhou