 Sketch In, Sketch Out: Accelerating both Learning and Inference for
Structured Prediction with KernelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Vector-Valued Least-Squares Regression under Output Regularity
AssumptionsJournal of machine learning research (JMLR), 2022 |
 Statistical Optimality and Computational Efficiency of Nyström Kernel
PCAJournal of machine learning research (JMLR), 2021 |
 Gain with no Pain: Efficient Kernel-PCA by Nyström SamplingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 |
 Learning with SGD and Random FeaturesNeural Information Processing Systems (NeurIPS), 2018 |
 FALKON: An Optimal Large Scale Kernel MethodNeural Information Processing Systems (NeurIPS), 2017 |
 Less is More: Nyström Computational RegularizationNeural Information Processing Systems (NeurIPS), 2015 |
 Adaptive Randomized Dimension Reduction on Massive DataJournal of machine learning research (JMLR), 2015 |
