Papers
Efficiently escaping saddle points on manifolds
Christopher Criscitiello, Nicolas Boumal
Fast Structured Decoding for Sequence Models
Zhiqing Sun, Zhuohan Li, Haoqing Wang et al.
Fast Efficient Hyperparameter Tuning for Policy Gradient Methods
Supratik Paul, Vitaly Kurin, Shimon Whiteson
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations
Yifeng Fan, Tingran Gao, Zhizhen Jane Zhao
Near Neighbor: Who is the Fairest of Them All?
Sariel Har-Peled, Sepideh Mahabadi
DATA: Differentiable ArchiTecture Approximation
Jianlong Chang, xinbang zhang, Yiwen Guo et al.
Wasserstein Weisfeiler-Lehman Graph Kernels
Matteo Togninalli, Elisabetta Ghisu, Felipe Llinares-López et al.
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