Papers
Obtaining Fairness using Optimal Transport Theory
Paula Gordaliza, Eustasio Del Barrio, Gamboa Fabrice et al.
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto, David Meger, Doina Precup
On Certifying Non-Uniform Bounds against Adversarial Attacks
Chen Liu, Ryota Tomioka, Volkan Cevher
On Connected Sublevel Sets in Deep Learning
Quynh Nguyen
On discriminative learning of prediction uncertainty
Vojtech Franc, Daniel Prusa
On Dropout and Nuclear Norm Regularization
Poorya Mianjy, Raman Arora
On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent Algorithms
Tianyi Lin, Nhat Ho, Michael Jordan
On Learning Invariant Representations for Domain Adaptation
Han Zhao, Remi Tachet Des Combes, Kun Zhang et al.
Online Adaptive Principal Component Analysis and Its extensions
Jianjun Yuan, Andrew Lamperski
Online Algorithms for Rent-Or-Buy with Expert Advice
Sreenivas Gollapudi, Debmalya Panigrahi
Online Control with Adversarial Disturbances
Naman Agarwal, Brian Bullins, Elad Hazan et al.
Online Convex Optimization in Adversarial Markov Decision Processes
Aviv Rosenberg, Yishay Mansour
Online Learning to Rank with Features
Shuai Li, Tor Lattimore, Csaba Szepesvari
Online learning with kernel losses
Niladri Chatterji, Aldo Pacchiano, Peter Bartlett
Online Learning with Sleeping Experts and Feedback Graphs
Corinna Cortes, Giulia Desalvo, Claudio Gentile et al.
Online Meta-Learning
Chelsea Finn, Aravind Rajeswaran, Sham Kakade et al.
Online Variance Reduction with Mixtures
Zalán Borsos, Sebastian Curi, Kfir Yehuda Levy et al.
On Medians of (Randomized) Pairwise Means
Pierre Laforgue, Stephan Clemencon, Patrice Bertail
On Scalable and Efficient Computation of Large Scale Optimal Transport
Yujia Xie, Minshuo Chen, Haoming Jiang et al.
On Sparse Linear Regression in the Local Differential Privacy Model
Di Wang, Jinhui Xu
On Symmetric Losses for Learning from Corrupted Labels
Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama
On the Complexity of Approximating Wasserstein Barycenters
Alexey Kroshnin, Nazarii Tupitsa, Darina Dvinskikh et al.
On the Connection Between Adversarial Robustness and Saliency Map Interpretability
Christian Etmann, Sebastian Lunz, Peter Maass et al.
On the Convergence and Robustness of Adversarial Training
Yisen Wang, Xingjun Ma, James Bailey et al.