Papers
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.
Fast and Accurate Stochastic Gradient Estimation
Beidi Chen, Yingchen Xu, Anshumali Shrivastava
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
Mahmoud Assran, Joshua Romoff, Nicolas Ballas et al.
Nonconvex Low-Rank Tensor Completion from Noisy Data
Changxiao Cai, Gen Li, H. Vincent Poor et al.
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods
Belhal Karimi, Hoi-To Wai, Eric Moulines et al.
Accurate Layerwise Interpretable Competence Estimation
Vickram Rajendran, William LeVine
BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos
Eleanor Batty, Matthew Whiteway, Shreya Saxena et al.