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 Minimizing Convex Functionals over Space of Probability Measures via KL
Divergence Gradient FlowInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Empirical Bayes via ERM and Rademacher complexities: the Poisson modelAnnual Conference Computational Learning Theory (COLT), 2023 |
 On Efficient and Scalable Computation of the Nonparametric Maximum
Likelihood Estimator in Mixture ModelsJournal of machine learning research (JMLR), 2022 |
 Fisher-Pitman permutation tests based on nonparametric Poisson mixtures
with application to single cell genomicsJournal of the American Statistical Association (JASA), 2021 |
 Robust Model Selection and Nearly-Proper Learning for GMMsNeural Information Processing Systems (NeurIPS), 2021 |
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 Local Minima Structures in Gaussian Mixture ModelsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020 |
