Papers
4,025 papers found
On Facility Location Problem in the Local Differential Privacy Model
Vincent Cohen-Addad, Yunus Esencayi, Chenglin Fan et al.
On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds
Trung Le, Anh Tuan Bui, Le Minh Tri Tue et al.
On Learning Mixture Models with Sparse Parameters
Soumyabrata Pal, Arya Mazumdar
On Linear Model with Markov Signal Priors
Lan V. Truong
Online Competitive Influence Maximization
Jinhang Zuo, Xutong Liu, Carlee Joe-Wong et al.
Online Continual Adaptation with Active Self-Training
Shiji Zhou, Han Zhao, Shanghang Zhang et al.
Online Learning for Unknown Partially Observable MDPs
Mehdi Jafarnia Jahromi, Rahul Jain, Ashutosh Nayyar
Online Page Migration with ML Advice
Piotr Indyk, Frederik Mallmann-Trenn, Slobodan Mitrovic et al.
On Margins and Derandomisation in PAC-Bayes
Felix Biggs, Benjamin Guedj
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
Khang Le, Huy Nguyen, Khai Nguyen et al.
On PAC-Bayesian reconstruction guarantees for VAEs
Badr-Eddine Chérief-Abdellatif, Yuyang Shi, Arnaud Doucet et al.
On perfectness in Gaussian graphical models
Arash Amini, Bryon Aragam, Qing Zhou
On Some Fast And Robust Classifiers For High Dimension, Low Sample Size Data
Sarbojit Roy, Jyotishka Ray Choudhury, Subhajit Dutta
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms
Nhat Ho, Tianyi Lin, Michael Jordan
On the Assumptions of Synthetic Control Methods
Claudia Shi, Dhanya Sridhar, Vishal Misra et al.
On the complexity of the optimal transport problem with graph-structured cost
Jiaojiao Fan, Isabel Haasler, Johan Karlsson et al.
On the Consistency of Max-Margin Losses
Alex Nowak, Alessandro Rudi, Francis Bach
On the Convergence of Continuous Constrained Optimization for Structure Learning
Ignavier Ng, Sebastien Lachapelle, Nan Rosemary Ke et al.
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging
Chris Junchi Li, Yaodong Yu, Nicolas Loizou et al.
On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction
Jiawei Huang, Nan Jiang
On the equivalence of Oja’s algorithm and GROUSE
Laura Balzano
On the Generalization of Representations in Reinforcement Learning
Charline Le Lan, Stephen Tu, Adam Oberman et al.
On the Global Optimum Convergence of Momentum-based Policy Gradient
Yuhao Ding, Junzi Zhang, Javad Lavaei
On the Implicit Bias of Gradient Descent for Temporal Extrapolation
Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen et al.