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 Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman
graph kernelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 Sliced Wasserstein with Random-Path Projecting DirectionsInternational Conference on Machine Learning (ICML), 2024 |
 Validating Climate Models with Spherical Convolutional Wasserstein
DistanceNeural Information Processing Systems (NeurIPS), 2024 |
 Accelerating Sinkhorn Algorithm with Sparse Newton IterationsInternational Conference on Learning Representations (ICLR), 2024 |
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 Structured Transforms Across Spaces with Cost-Regularized Optimal
TransportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Max-Sliced Mutual InformationNeural Information Processing Systems (NeurIPS), 2023 |
 Partial Transport for Point-Cloud RegistrationSampling Theory, Signal Processing, and Data Analysis (TSPDA), 2023 |
 Reparameterized Variational Rejection SamplingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Probabilistic Constrained Reinforcement Learning with Formal
InterpretabilityInternational Conference on Machine Learning (ICML), 2023 |
 Recent Advances in Optimal Transport for Machine LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 |
 Importance Sparsification for Sinkhorn AlgorithmJournal of machine learning research (JMLR), 2023 |
