Papers
4,122 papers found
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
Chen Liu, Zhichao Huang, Mathieu Salzmann et al.
On the Intrinsic Structures of Spiking Neural Networks
Shao-Qun Zhang, Jia-Yi Chen, Jin-Hui Wu et al.
On the Learnability of Out-of-distribution Detection
Zhen Fang, Yixuan Li, Feng Liu et al.
On the Optimality of Misspecified Spectral Algorithms
Haobo Zhang, Yicheng Li, Qian Lin
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control
Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang et al.
On Truthing Issues in Supervised Classification
Jonathan K. Su
On Unbiased Estimation for Partially Observed Diffusions
Jeremy Heng, Jeremie Houssineau, Ajay Jasra
OpenBox: A Python Toolkit for Generalized Black-box Optimization
Huaijun Jiang, Yu Shen, Yang Li et al.
Open-Source Conversational AI with SpeechBrain 1.0
Mirco Ravanelli, Titouan Parcollet, Adel Moumen et al.
Operator learning without the adjoint
Nicolas Boullé, Diana Halikias, Samuel E. Otto et al.
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions
Xuxing Chen, Tesi Xiao, Krishnakumar Balasubramanian
Optimal Clustering with Bandit Feedback
Junwen Yang, Zixin Zhong, Vincent Y. F. Tan
Optimal Decision Tree and Adaptive Submodular Ranking with Noisy Outcomes
Su Jia, Fatemeh Navidi, Viswanath Nagarajan et al.
Optimal First-Order Algorithms as a Function of Inequalities
Chanwoo Park, Ernest K. Ryu
Optimal Learning Policies for Differential Privacy in Multi-armed Bandits
Siwei Wang, Jun Zhu
Optimal Locally Private Nonparametric Classification with Public Data
Yuheng Ma, Hanfang Yang
Optimal Weighted Random Forests
Xinyu Chen, Dalei Yu, Xinyu Zhang
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
Sijia Chen, Yu-Jie Zhang, Wei-Wei Tu et al.
Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries
Solt Kovács, Housen Li, Lorenz Haubner et al.
Optimization-based Causal Estimation from Heterogeneous Environments
Mingzhang Yin, Yixin Wang, David M. Blei
Optimizing Noise for f-Differential Privacy via Anti-Concentration and Stochastic Dominance
Jordan Awan, Aishwarya Ramasethu