Papers
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering
Biwei Huang, Kun Zhang, Pengtao Xie et al.
Stagewise Training Accelerates Convergence of Testing Error Over SGD
Zhuoning Yuan, Yan Yan, Rong Jin et al.
On Tractable Computation of Expected Predictions
Pasha Khosravi, YooJung Choi, Yitao Liang et al.
Robust Multi-agent Counterfactual Prediction
Alexander Peysakhovich, Christian Kroer, Adam Lerer
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems
Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques et al.
Counting the Optimal Solutions in Graphical Models
Radu Marinescu, Rina Dechter
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers
Alex Lu, Amy Lu, Wiebke Schormann et al.
Fair Algorithms for Clustering
Suman Bera, Deeparnab Chakrabarty, Nicolas Flores et al.
Differential Privacy Has Disparate Impact on Model Accuracy
Eugene Bagdasaryan, Omid Poursaeed, Vitaly Shmatikov
Online Convex Matrix Factorization with Representative Regions
Jianhao Peng, Olgica Milenkovic, Abhishek Agarwal
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models
Stefano Sarao Mannelli, Giulio Biroli, Chiara Cammarota et al.
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models
Aditya Gangrade, Praveen Venkatesh, Bobak Nazer et al.
Blended Matching Pursuit
Cyrille Combettes, Sebastian Pokutta
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
Ananya Uppal, Shashank Singh, Barnabas Poczos
Primal-Dual Block Generalized Frank-Wolfe
Qi Lei, JIACHENG ZHUO, Constantine Caramanis et al.
On the Downstream Performance of Compressed Word Embeddings
Avner May, Jian Zhang, Tri Dao et al.
KNG: The K-Norm Gradient Mechanism
Matthew Reimherr, Jordan Awan
Efficient online learning with kernels for adversarial large scale problems
Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
Experience Replay for Continual Learning
David Rolnick, Arun Ahuja, Jonathan Schwarz et al.
Neural Diffusion Distance for Image Segmentation
Jian Sun, Zongben Xu
Exact sampling of determinantal point processes with sublinear time preprocessing
Michal Derezinski, Daniele Calandriello, Michal Valko
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers
Guang-He Lee, Yang Yuan, Shiyu Chang et al.
The Broad Optimality of Profile Maximum Likelihood
Yi Hao, Alon Orlitsky
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections
Boris Muzellec, Marco Cuturi
Multi-Agent Common Knowledge Reinforcement Learning
Christian Schroeder de Witt, Jakob Foerster, Gregory Farquhar et al.