 Recurrent Neural Goodness-of-Fit Test for Time SeriesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 A Bipartite Ranking Approach to the Two-Sample ProblemElectronic Journal of Statistics (EJS), 2023 |
 Spectral Regularized Kernel Two-Sample TestsAnnals of Statistics (Ann. Stat.), 2022 |
 An independence test for functional variables based on kernel normalized
cross-covariance operatorJournal of Multivariate Analysis (J. Multivar. Anal.), 2022 |
 Context-Aware Drift DetectionInternational Conference on Machine Learning (ICML), 2022 |
 A new ranking scheme for modern data and its application to two-sample
hypothesis testingAnnual Conference Computational Learning Theory (COLT), 2021 D. Zhou Hao Chen |
 A Witness Two-Sample TestInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
 Privacy Enhancing Machine Learning via Removal of Unwanted DependenciesIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 |
 Learning Deep Kernels for Non-Parametric Two-Sample TestsInternational Conference on Machine Learning (ICML), 2020 |
 Kernel Stein Tests for Multiple Model ComparisonNeural Information Processing Systems (NeurIPS), 2019 |
 Two-sample Testing Using Deep LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 |
 Scalable Kernel Learning via the Discriminant InformationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 |
 Comparing distributions: geometry improves kernel two-sample
testingNeural Information Processing Systems (NeurIPS), 2019 |
 Kernel Mean Embedding Based Hypothesis Tests for Comparing Spatial Point
PatternsSpatial Statistics (SS), 2019 |
 Confirmatory Bayesian Online Change Point Detection in the Covariance
Structure of Gaussian ProcessesInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 |
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 Uncertain programming model for multi-item solid transportation problemInternational Journal of Machine Learning and Cybernetics (IJMLC), 2016 |
 Fast Two-Sample Testing with Analytic Representations of Probability
MeasuresNeural Information Processing Systems (NeurIPS), 2015 |
 A Wild Bootstrap for Degenerate Kernel TestsNeural Information Processing Systems (NeurIPS), 2014 |
 Nonparametric Independence Testing for Small Sample SizesInternational Joint Conference on Artificial Intelligence (IJCAI), 2014 |
 Fast Computation of Wasserstein BarycentersInternational Conference on Machine Learning (ICML), 2013 |
 B-tests: Low Variance Kernel Two-Sample TestsNeural Information Processing Systems (NeurIPS), 2013 |
 Sharp analysis of low-rank kernel matrix approximationsAnnual Conference Computational Learning Theory (COLT), 2012 |
 On the Size of the Online Kernel Sparsification DictionaryInternational Conference on Machine Learning (ICML), 2012 |
