Papers
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
Caglar Gulcehre, Ziyu Wang, Alexander Novikov et al.
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC
Arun Ganesh, Kunal Talwar
Self-Supervised Few-Shot Learning on Point Clouds
Charu Sharma, Manohar Kaul
Swapping Autoencoder for Deep Image Manipulation
Taesung Park, Jun-Yan Zhu, Oliver Wang et al.
Efficient active learning of sparse halfspaces with arbitrary bounded noise
Chicheng Zhang, Jie Shen, Pranjal Awasthi
Training Linear Finite-State Machines
Arash Ardakani, Amir Ardakani, Warren Gross
Small Nash Equilibrium Certificates in Very Large Games
Brian Zhang, Tuomas Sandholm
Auxiliary Task Reweighting for Minimum-data Learning
Baifeng Shi, Judy Hoffman, Kate Saenko et al.
Implicit Distributional Reinforcement Learning
Yuguang Yue, Zhendong Wang, Mingyuan Zhou
Uncertainty Quantification for Inferring Hawkes Networks
Haoyun Wang, Liyan Xie, Alex Cuozzo et al.
Synthetic Data Generators -- Sequential and Private
Olivier Bousquet, Roi Livni, Shay Moran
Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model
Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel Palomar
Neuronal Gaussian Process Regression
Johannes Friedrich
Correlation Robust Influence Maximization
Louis Chen, Divya Padmanabhan, Chee Chin Lim et al.
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data
Aude Sportisse, Claire Boyer, Julie Josse
FedSplit: an algorithmic framework for fast federated optimization
Reese Pathak, Martin J. Wainwright
Curriculum learning for multilevel budgeted combinatorial problems
Adel Nabli, Margarida Carvalho
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
Gen Li, Yuting Wei, Yuejie Chi et al.
Learning Restricted Boltzmann Machines with Sparse Latent Variables
Guy Bresler, Rares-Darius Buhai
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection
Yunhang Shen, Rongrong Ji, Zhiwei Chen et al.
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars
Tiziano Portenier, Siavash Arjomand Bigdeli, Orcun Goksel
Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization
Wei Wang, Min-Ling Zhang
Regularized linear autoencoders recover the principal components, eventually
Xuchan Bao, James Lucas, Sushant Sachdeva et al.
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
Qijian Zhang, Runmin Cong, Junhui Hou et al.