Papers
Online Convex Matrix Factorization with Representative Regions
Jianhao Peng, Olgica Milenkovic, Abhishek Agarwal
Online EXP3 Learning in Adversarial Bandits with Delayed Feedback
Ilai Bistritz, Zhengyuan Zhou, Xi Chen et al.
Online Forecasting of Total-Variation-bounded Sequences
Dheeraj Baby, Yu-Xiang Wang
Online Learning via the Differential Privacy Lens
Jacob D. Abernethy, Young Hun Jung, Chansoo Lee et al.
Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms
Vikas Garg, Tamar Pichkhadze
Online Normalization for Training Neural Networks
Vitaliy Chiley, Ilya Sharapov, Atli Kosson et al.
Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis
Yingying Li, Xin Chen, Na Li
Online Prediction of Switching Graph Labelings with Cluster Specialists
Mark Herbster, James Robinson
Online sampling from log-concave distributions
Holden Lee, Oren Mangoubi, Nisheeth Vishnoi
Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function
Aviv Rosenberg, Yishay Mansour
Online-Within-Online Meta-Learning
Giulia Denevi, Dimitris Stamos, Carlo Ciliberto et al.
On Making Stochastic Classifiers Deterministic
Andrew Cotter, Maya Gupta, Harikrishna Narasimhan
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Sunil Thulasidasan, Gopinath Chennupati, Jeff A. Bilmes et al.
On Relating Explanations and Adversarial Examples
Alexey Ignatiev, Nina Narodytska, Joao Marques-Silva
On Robustness of Principal Component Regression
Anish Agarwal, Devavrat Shah, Dennis Shen et al.
On Robustness to Adversarial Examples and Polynomial Optimization
Pranjal Awasthi, Abhratanu Dutta, Aravindan Vijayaraghavan
On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons
Wenbo Ren, Jia (Kevin) Liu, Ness Shroff
On Single Source Robustness in Deep Fusion Models
Taewan Kim, Joydeep Ghosh
On Testing for Biases in Peer Review
Ivan Stelmakh, Nihar Shah, Aarti Singh
On the Accuracy of Influence Functions for Measuring Group Effects
Pang Wei W Koh, Kai-Siang Ang, Hubert Teo et al.
On the Calibration of Multiclass Classification with Rejection
Chenri Ni, Nontawat Charoenphakdee, Junya Honda et al.
On The Classification-Distortion-Perception Tradeoff
Dong Liu, Haochen Zhang, Zhiwei Xiong
On the convergence of single-call stochastic extra-gradient methods
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick et al.
On the Convergence Rate of Training Recurrent Neural Networks
Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
On the Correctness and Sample Complexity of Inverse Reinforcement Learning
Abi Komanduru, Jean Honorio