Papers
Optimal Unbiased Randomizers for Regression with Label Differential Privacy
Ashwinkumar Badanidiyuru Varadaraja, Badih Ghazi, Pritish Kamath et al.
Optimistic Active Exploration of Dynamical Systems
Bhavya Sukhija, Lenart Treven, Cansu Sancaktar et al.
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
Sarath Sreedharan, Michael Katz
Optimistic Meta-Gradients
Sebastian Flennerhag, Tom Zahavy, Brendan O'Donoghue et al.
Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL
Qinghua Liu, Gellert Weisz, András György et al.
Optimistic Rates for Multi-Task Representation Learning
Austin Watkins, Enayat Ullah, Thanh Nguyen-Tang et al.
Optimization and Bayes: A Trade-off for Overparameterized Neural Networks
Zhengmian Hu, Heng Huang
Optimization of Inter-group criteria for clustering with minimum size constraints
Eduardo Laber, Lucas Murtinho
Optimization or Architecture: How to Hack Kalman Filtering
Ido Greenberg, Netanel Yannay, Shie Mannor
Optimized Covariance Design for AB Test on Social Network under Interference
Qianyi Chen, Bo Li, Lu Deng et al.
Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal
Leah Chrestien, Stefan Edelkamp, Antonin Komenda et al.
Optimizing over trained GNNs via symmetry breaking
Shiqiang Zhang, Juan Campos, Christian Feldmann et al.
Optimizing Prompts for Text-to-Image Generation
Yaru Hao, Zewen Chi, Li Dong et al.
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method
Constantine Caramanis, Dimitris Fotakis, Alkis Kalavasis et al.
Ordering-based Conditions for Global Convergence of Policy Gradient Methods
Jincheng Mei, Bo Dai, Alekh Agarwal et al.
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
Dami Choi, Derrick Xin, Hamid Dadkhahi et al.
Orthogonal Non-negative Tensor Factorization based Multi-view Clustering
Jing Li, Quanxue Gao, QIANQIAN WANG et al.
Outlier-Robust Gromov-Wasserstein for Graph Data
Lemin Kong, Jiajin Li, Jianheng Tang et al.
Outlier-Robust Wasserstein DRO
Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
Haotian Zheng, Qizhou Wang, Zhen Fang et al.
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation
Yilin Lyu, Liyuan Wang, Xingxing Zhang et al.
OV-PARTS: Towards Open-Vocabulary Part Segmentation
Meng Wei, Xiaoyu Yue, Wenwei Zhang et al.
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
Apoorva Sharma, Sushant Veer, Asher Hancock et al.
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo