Approximation-Generalization Trade-offs under (Approximate) Group EquivarianceNeural Information Processing Systems (NeurIPS), 2023 |
Protecting Split Learning by Potential Energy LossInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 |
Universal Bayes consistency in metric spacesInformation Theory and Applications Workshop (ITA), 2019 |
Minimax rates for cost-sensitive learning on manifolds with approximate
nearest neighboursInternational Conference on Algorithmic Learning Theory (ALT), 2017 |
Tight Risk Bounds for Multi-Class Margin ClassifiersPattern Recognition and Image Analysis (PRIA), 2015 |
A Bayes consistent 1-NN classifierInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2014 |
Near-optimal sample compression for nearest neighborsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2014 |
Efficient Regression in Metric Spaces via Approximate Lipschitz
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