Papers
An adaptive nearest neighbor rule for classification
Akshay Balsubramani, Sanjoy Dasgupta, yoav Freund et al.
A Stochastic Composite Gradient Method with Incremental Variance Reduction
Junyu Zhang, Lin Xiao
Region Mutual Information Loss for Semantic Segmentation
Shuai Zhao, Yang Wang, Zheng Yang et al.
Trust Region-Guided Proximal Policy Optimization
Yuhui Wang, Hao He, Xiaoyang Tan et al.
Combining Generative and Discriminative Models for Hybrid Inference
Victor Garcia Satorras, Zeynep Akata, Max Welling
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders
Zhibing Zhao, Lirong Xia
Tensor Monte Carlo: Particle Methods for the GPU era
Laurence Aitchison
Distributed Low-rank Matrix Factorization With Exact Consensus
Zhihui Zhu, Qiuwei Li, Xinshuo Yang et al.
Locally Private Gaussian Estimation
Matthew Joseph, Janardhan Kulkarni, Jieming Mao et al.
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation
Devin Reich, Ariel Todoki, Rafael Dowsley et al.
Semi-flat minima and saddle points by embedding neural networks to overparameterization
Kenji Fukumizu, Shoichiro Yamaguchi, Yoh-ichi Mototake et al.
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
Yihe Dong, Samuel Hopkins, Jerry Li
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules
Niklas Gebauer, Michael Gastegger, Kristof Schütt
Learning Distributions Generated by One-Layer ReLU Networks
Shanshan Wu, Alexandros G Dimakis, Sujay Sanghavi
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari Morcos, Haonan Yu, Michela Paganini et al.
A Family of Robust Stochastic Operators for Reinforcement Learning
Yingdong Lu, Mark Squillante, Chai Wah Wu
Multi-objects Generation with Amortized Structural Regularization
Taufik Xu, Chongxuan LI, Jun Zhu et al.
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
Zhiqi Bu, Jason Klusowski, Cynthia Rush et al.
Better Exploration with Optimistic Actor Critic
Kamil Ciosek, Quan Vuong, Robert Loftin et al.
Scalable Deep Generative Relational Model with High-Order Node Dependence
Xuhui Fan, Bin Li, Caoyuan Li et al.
Random Projections with Asymmetric Quantization
Xiaoyun Li, Ping Li
Space and Time Efficient Kernel Density Estimation in High Dimensions
Arturs Backurs, Piotr Indyk, Tal Wagner
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks, Mantas Mazeika, Saurav Kadavath et al.
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling
Qitian Wu, Zixuan Zhang, Xiaofeng Gao et al.
Learning Disentangled Representations for Recommendation
Jianxin Ma, Chang Zhou, Peng Cui et al.