Papers
Online Sparse Reinforcement Learning
Botao Hao, Tor Lattimore, Csaba Szepesvari et al.
On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models
Yuyang Shi, Rob Cornish
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification
Tianyi Lin, Zeyu Zheng, Elynn Chen et al.
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size
Alain Durmus, Pablo Jiménez, Eric Moulines et al.
On the Absence of Spurious Local Minima in Nonlinear Low-Rank Matrix Recovery Problems
Yingjie Bi, Javad Lavaei
On the Consistency of Metric and Non-Metric K-Medoids
He Jiang, Ery Arias-Castro
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow
Youssef Mroueh, Truyen Nguyen
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions
Kai Brügge, Asja Fischer, Christian Igel
On the Effect of Auxiliary Tasks on Representation Dynamics
Clare Lyle, Mark Rowland, Georg Ostrovski et al.
On the Faster Alternating Least-Squares for CCA
Zhiqiang Xu, Ping Li
On the Generalization Properties of Adversarial Training
Yue Xing, Qifan Song, Guang Cheng
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
Baohe Zhang, Raghu Rajan, Luis Pineda et al.
On the Linear Convergence of Policy Gradient Methods for Finite MDPs
Jalaj Bhandari, Daniel Russo
On the Memory Mechanism of Tensor-Power Recurrent Models
Hejia Qiu, Chao Li, Ying Weng et al.
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression
Jeongyeol Kwon, Nhat Ho, Constantine Caramanis
On the number of linear functions composing deep neural network: Towards a refined definition of neural networks complexity
Yuuki Takai, Akiyoshi Sannai, Matthieu Cordonnier
On the Privacy Properties of GAN-generated Samples
Zinan Lin, Vyas Sekar, Giulia Fanti
On the proliferation of support vectors in high dimensions
Daniel Hsu, Vidya Muthukumar, Ji Xu
On the Role of Data in PAC-Bayes Bounds
Gintare Karolina Dziugaite, Kyle Hsu, Waseem Gharbieh et al.
On the Suboptimality of Negative Momentum for Minimax Optimization
Guodong Zhang, Yuanhao Wang
Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy
Onur Teymur, Jackson Gorham, Marina Riabiz et al.
Optimal query complexity for private sequential learning against eavesdropping
Jiaming Xu, Kuang Xu, Dana Yang
Optimizing Percentile Criterion using Robust MDPs
Bahram Behzadian, Reazul Hasan Russel, Marek Petrik et al.
Parametric Programming Approach for More Powerful and General Lasso Selective Inference
Vo Nguyen Le Duy, Ichiro Takeuchi