distribution testing

The Price of Tolerance in Distribution Testing COLT 2022 Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions JMLR 2022 Application of kernel hypothesis testing on set-valued data UAI 2021 Learning and Testing Irreducible Markov Chains via the k-Cover Time ALT 2021 Learning and testing junta distributions with sub cube conditioning COLT 2021 Sequential Algorithms for Testing Closeness of Distributions NeurIPS 2021 Efficient Parameter Estimation of Truncated Boolean Product Distributions COLT 2020 Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms NeurIPS 2020 On a projective ensemble approach to two sample test for equality of distributions ICML 2020 On Testing of Samplers NeurIPS 2020 Testing Determinantal Point Processes NeurIPS 2020 A Higher-Order Kolmogorov-Smirnov Test AISTATS 2019 Communication and Memory Efficient Testing of Discrete Distributions COLT 2019 Comparing distributions: ℓ_1 geometry improves kernel two-sample testing NeurIPS 2019 Estimating Entropy of Distributions in Constant Space NeurIPS 2019 Graph-based Discriminators: Sample Complexity and Expressiveness NeurIPS 2019 On Testing of Uniform Samplers AAAI 2019 Private Testing of Distributions via Sample Permutations NeurIPS 2019 Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain AISTATS 2019 Testing Mixtures of Discrete Distributions COLT 2019 Test without Trust: Optimal Locally Private Distribution Testing AISTATS 2019 Towards Testing Monotonicity of Distributions Over General Posets COLT 2019 Differentially Private Identity and Equivalence Testing of Discrete Distributions ICML 2018 Differentially Private Testing of Identity and Closeness of Discrete Distributions NeurIPS 2018 Entropy Rate Estimation for Markov Chains with Large State Space NeurIPS 2018