Showing 1–20 of 47 results
/ Date/ Name
May 24, 2018Learning and Testing Causal Models with InterventionsApr 2, 2021Information-constrained optimization: can adaptive processing of gradients help?Jul 21, 2021Optimal Rates for Nonparametric Density Estimation under Communication ConstraintsMay 2, 2017Improved Bounds for Universal One-Bit Compressive SensingMar 4, 2021Remember What You Want to Forget: Algorithms for Machine UnlearningNov 2, 2017Measuring Quantum EntropyFeb 13, 2018Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little CommunicationMay 20, 2019Inference under Information Constraints II: Communication Constraints and Shared RandomnessMay 28, 2019Communication Complexity in Locally Private Distribution Estimation and Heavy HittersOct 13, 2014Testing Poisson Binomial DistributionsAug 7, 2018Test without Trust: Optimal Locally Private Distribution TestingMar 10, 2014String Reconstruction from Substring CompositionsMay 29, 2014Universal Compression of Envelope Classes: Tight Characterization via Poisson SamplingJun 9, 2016Maximum Selection and Sorting with Adversarial Comparators and an Application to Density EstimationApr 19, 2018Distributed Simulation and Distributed InferenceJul 21, 2015Optimal Testing for Properties of DistributionsAug 8, 2019Optimal multiclass overfitting by sequence reconstruction from Hamming queriesDec 30, 2018Inference under Information Constraints I: Lower Bounds from Chi-Square ContractionFeb 28, 2019Distributed Learning with Sublinear CommunicationApr 14, 2020Differentially Private Assouad, Fano, and Le Cam