Papers
Robust Principal Component Analysis with Adaptive Neighbors
Rui Zhang, Hanghang Tong
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric
Nathan Kallus, Angela Zhou
Single-Model Uncertainties for Deep Learning
Natasa Tagasovska, David Lopez-Paz
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
Nima Dehmamy, Albert-Laszlo Barabasi, Rose Yu
Greedy Sampling for Approximate Clustering in the Presence of Outliers
Aditya Bhaskara, Sharvaree Vadgama, Hong Xu
On Relating Explanations and Adversarial Examples
Alexey Ignatiev, Nina Narodytska, Joao Marques-Silva
Oblivious Sampling Algorithms for Private Data Analysis
Sajin Sasy, Olga Ohrimenko
Distributional Policy Optimization: An Alternative Approach for Continuous Control
Chen Tessler, Guy Tennenholtz, Shie Mannor
SPoC: Search-based Pseudocode to Code
Sumith Kulal, Panupong Pasupat, Kartik Chandra et al.
Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits
Yogev Bar-On, Yishay Mansour
Information Competing Process for Learning Diversified Representations
Jie Hu, Rongrong Ji, ShengChuan Zhang et al.
On the equivalence between graph isomorphism testing and function approximation with GNNs
Zhengdao Chen, Soledad Villar, Lei Chen et al.
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions
Negin Golrezaei, Adel Javanmard, Vahab Mirrokni
Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
ravichandra addanki, Shaileshh Bojja Venkatakrishnan, Shreyan Gupta et al.
Learning Temporal Pose Estimation from Sparsely-Labeled Videos
Gedas Bertasius, Christoph Feichtenhofer, Du Tran et al.
MintNet: Building Invertible Neural Networks with Masked Convolutions
Yang Song, Chenlin Meng, Stefano Ermon
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis
David Clark, Jesse Livezey, Kristofer Bouchard
A Debiased MDI Feature Importance Measure for Random Forests
Xiao Li, Yu Wang, Sumanta Basu et al.
Kernel quadrature with DPPs
Ayoub Belhadji, Rémi Bardenet, Pierre Chainais
Learning from brains how to regularize machines
Zhe Li, Wieland Brendel, Edgar Walker et al.
Private Learning Implies Online Learning: An Efficient Reduction
Alon Gonen, Elad Hazan, Shay Moran
Meta Learning with Relational Information for Short Sequences
Yujia Xie, Haoming Jiang, Feng Liu et al.
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning
Gregory Farquhar, Shimon Whiteson, Jakob Foerster
Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair et al.