Papers
A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints
Omid Sadeghi, Prasanna Raut, Maryam Fazel
Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning
Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S Meel et al.
Recovery of sparse linear classifiers from mixture of responses
Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning
Huan Fu, Shunming Li, Rongfei Jia et al.
Efficient Generation of Structured Objects with Constrained Adversarial Networks
Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi et al.
Black-Box Optimization with Local Generative Surrogates
Sergey Shirobokov, Vladislav Belavin, Michael Kagan et al.
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples
Samarth Sinha, Zhengli Zhao, Anirudh Goyal ALIAS PARTH GOYAL et al.
Reducing Adversarially Robust Learning to Non-Robust PAC Learning
Omar Montasser, Steve Hanneke, Nati Srebro
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
Jy-yong Sohn, Dong-Jun Han, Beongjun Choi et al.
STLnet: Signal Temporal Logic Enforced Multivariate Recurrent Neural Networks
Meiyi Ma, Ji Gao, Lu Feng et al.
The Strong Screening Rule for SLOPE
Johan Larsson, Malgorzata Bogdan, Jonas Wallin
Assisted Learning: A Framework for Multi-Organization Learning
Xun Xian, Xinran Wang, Jie Ding et al.
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim, Youngbum Hur, Sejun Park et al.
Scalable Graph Neural Networks via Bidirectional Propagation
Ming Chen, Zhewei Wei, Bolin Ding et al.
Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate
Zhiyuan Li, Kaifeng Lyu, Sanjeev Arora
Learning the Linear Quadratic Regulator from Nonlinear Observations
Zakaria Mhammedi, Dylan J Foster, Max Simchowitz et al.
KFC: A Scalable Approximation Algorithm for k−center Fair Clustering
Elfarouk Harb, Ho Shan Lam
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
Yimeng Min, Frederik Wenkel, Guy Wolf
Planning with General Objective Functions: Going Beyond Total Rewards
Ruosong Wang, Peilin Zhong, Simon S Du et al.
CoinPress: Practical Private Mean and Covariance Estimation
Sourav Biswas, Yihe Dong, Gautam Kamath et al.
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
Zhining Liu, Pengfei Wei, Jing Jiang et al.
Fast geometric learning with symbolic matrices
Jean Feydy, Alexis Glaunès, Benjamin Charlier et al.
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Long Zhao, Ting Liu, Xi Peng et al.
Spike and slab variational Bayes for high dimensional logistic regression
Kolyan Ray, Botond Szabo, Gabriel Clara