Papers
Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes
Cheolmin Kim, Diego Klabjan
Stopping criterion for active learning based on deterministic generalization bounds
Hideaki Ishibashi, Hideitsu Hino
Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons
Jingyan Wang, Nihar Shah, R Ravi
Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models
Christian Weilbach, Boyan Beronov, Frank Wood et al.
Sublinear Optimal Policy Value Estimation in Contextual Bandits
Weihao Kong, Emma Brunskill, Gregory Valiant
Support recovery and sup-norm convergence rates for sparse pivotal estimation
Mathurin Massias, Quentin Bertrand, Alexandre Gramfort et al.
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization
Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother et al.
Tensorized Random Projections
Beheshteh Rakhshan, Guillaume Rabusseau
The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth measure
Guillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémen\con
The Expressive Power of a Class of Normalizing Flow Models
Zhifeng Kong, Kamalika Chaudhuri
The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions
Feras Saad, Cameron Freer, Martin Rinard et al.
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits
Ronshee Chawla, Abishek Sankararaman, Ayalvadi Ganesh et al.
The Implicit Regularization of Ordinary Least Squares Ensembles
Daniel LeJeune, Hamid Javadi, Richard Baraniuk
The Power of Batching in Multiple Hypothesis Testing
Tijana Zrnic, Daniel Jiang, Aaditya Ramdas et al.
The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time
Travis Moore, Wong Weng-Keen
The Sylvester Graphical Lasso (SyGlasso)
Yu Wang, Byoungwook Jang, Alfred Hero
The True Sample Complexity of Identifying Good Arms
Julian Katz-Samuels, Kevin Jamieson
Thompson Sampling for Linearly Constrained Bandits
Vidit Saxena, Joakim Jalden, Joseph Gonzalez
Thresholding Bandit Problem with Both Duels and Pulls
Yichong Xu, Xi Chen, Aarti Singh et al.
Thresholding Graph Bandits with GrAPL
Daniel LeJeune, Gautam Dasarathy, Richard Baraniuk
Tight Analysis of Privacy and Utility Tradeoff in Approximate Differential Privacy
Quan Geng, Wei Ding, Ruiqi Guo et al.
Tighter Theory for Local SGD on Identical and Heterogeneous Data
Ahmed Khaled, Konstantin Mishchenko, Peter Richtarik
Towards Competitive N-gram Smoothing
Moein Falahatgar, Mesrob Ohannessian, Alon Orlitsky et al.
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions
Giorgia Ramponi, Amarildo Likmeta, Alberto Maria Metelli et al.
Two-sample Testing Using Deep Learning
Matthias Kirchler, Shahryar Khorasani, Marius Kloft et al.