Papers
Robust Optimization for Fairness with Noisy Protected Groups
Serena Wang, Wenshuo Guo, Harikrishna Narasimhan et al.
Robust Persistence Diagrams using Reproducing Kernels
Siddharth Vishwanath, Kenji Fukumizu, Satoshi Kuriki et al.
Robust Pre-Training by Adversarial Contrastive Learning
Ziyu Jiang, Tianlong Chen, Ting Chen et al.
Robust Quantization: One Model to Rule Them All
moran shkolnik, Brian Chmiel, Ron Banner et al.
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization
Chong You, Zhihui Zhu, Qing Qu et al.
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification
Hyun-Suk Lee, Yao Zhang, William Zame et al.
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh et al.
Robust Sequence Submodular Maximization
Gamal Sallam, Zizhan Zheng, Jie Wu et al.
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing
Arun Jambulapati, Jerry Li, Kevin Tian
Rotated Binary Neural Network
Mingbao Lin, Rongrong Ji, Zihan Xu et al.
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
SEOHYUN KIM, JaeYoo Park, Bohyung Han
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor
Fan Lu, Guang Chen, Yinlong Liu et al.
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection
Xiaoya Li, Yuxian Meng, Mingxin Zhou et al.
Safe Reinforcement Learning via Curriculum Induction
Matteo Turchetta, Andrey Kolobov, Shital Shah et al.
Sample complexity and effective dimension for regression on manifolds
Andrew McRae, Justin Romberg, Mark Davenport
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
Gen Li, Yuting Wei, Yuejie Chi et al.
Sample Complexity of Uniform Convergence for Multicalibration
Eliran Shabat, Lee Cohen, Yishay Mansour
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
Austin Tripp, Erik Daxberger, José Miguel Hernández-Lobato
Sample-Efficient Reinforcement Learning of Undercomplete POMDPs
Chi Jin, Sham Kakade, Akshay Krishnamurthy et al.
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
Devavrat Shah, Dogyoon Song, Zhi Xu et al.
Sampling-Decomposable Generative Adversarial Recommender
Binbin Jin, Defu Lian, Zheng Liu et al.
Sampling from a k-DPP without looking at all items
Daniele Calandriello, Michal Derezinski, Michal Valko
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
Jingtong Su, Yihang Chen, Tianle Cai et al.
Scalable Belief Propagation via Relaxed Scheduling
Vitalii Aksenov, Dan Alistarh, Janne H. Korhonen
Scalable Graph Neural Networks via Bidirectional Propagation
Ming Chen, Zhewei Wei, Bolin Ding et al.