Papers
One-Shot Unsupervised Cross Domain Translation
Sagie Benaim, Lior Wolf
On Fast Leverage Score Sampling and Optimal Learning
Alessandro Rudi, Daniele Calandriello, Luigi Carratino et al.
On GANs and GMMs
Eitan Richardson, Yair Weiss
On gradient regularizers for MMD GANs
Michael Arbel, Danica J. Sutherland, Mikołaj Bińkowski et al.
On Learning Intrinsic Rewards for Policy Gradient Methods
Zeyu Zheng, Junhyuk Oh, Satinder Singh
On Learning Markov Chains
Yi Hao, Alon Orlitsky, Venkatadheeraj Pichapati
Online Adaptive Methods, Universality and Acceleration
Kfir Y. Levy, Alp Yurtsever, Volkan Cevher
Online convex optimization for cumulative constraints
Jianjun Yuan, Andrew Lamperski
Online Improper Learning with an Approximation Oracle
Elad Hazan, Wei Hu, Yuanzhi Li et al.
Online Learning of Quantum States
Scott Aaronson, Xinyi Chen, Elad Hazan et al.
Online Learning with an Unknown Fairness Metric
Stephen Gillen, Christopher Jung, Michael Kearns et al.
Online Reciprocal Recommendation with Theoretical Performance Guarantees
Fabio Vitale, Nikos Parotsidis, Claudio Gentile
Online Robust Policy Learning in the Presence of Unknown Adversaries
Aaron Havens, Zhanhong Jiang, Soumik Sarkar
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting
Hippolyt Ritter, Aleksandar Botev, David Barber
Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks
Agastya Kalra, Abdullah Rashwan, Wei-Shou Hsu et al.
On Markov Chain Gradient Descent
Tao Sun, Yuejiao Sun, Wotao Yin
On Misinformation Containment in Online Social Networks
Amo Tong, Ding-Zhu Du, Weili Wu
On Neuronal Capacity
Pierre Baldi, Roman Vershynin
On Oracle-Efficient PAC RL with Rich Observations
Christoph Dann, Nan Jiang, Akshay Krishnamurthy et al.
On preserving non-discrimination when combining expert advice
Avrim Blum, Suriya Gunasekar, Thodoris Lykouris et al.
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn et al.
On the Dimensionality of Word Embedding
Zi Yin, Yuanyuan Shen
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport
Lénaïc Chizat, Francis Bach
On the Local Hessian in Back-propagation
Huishuai Zhang, Wei Chen, Tie-Yan Liu
On the Local Minima of the Empirical Risk
Chi Jin, Lydia T. Liu, Rong Ge et al.