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Multiplicative Noise and Heavy Tails in Stochastic Optimization.

, and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4262-4274. PMLR, (2021)

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Compressing Deep ODE-Nets using Basis Function Expansions., , , and . CoRR, (2021)The Interpolating Information Criterion for Overparameterized Models., , , , and . CoRR, (2023)Generalization Properties of Stochastic Optimizers via Trajectory Analysis., , , and . CoRR, (2021)Multiplicative Noise and Heavy Tails in Stochastic Optimization., and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4262-4274. PMLR, (2021)Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 8774-8795. PMLR, (2022)A Heavy-Tailed Algebra for Probabilistic Programming., , and . CoRR, (2023)Generalization Guarantees via Algorithm-dependent Rademacher Complexity., , , , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 4863-4880. PMLR, (2023)Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 13085-13117. PMLR, (2023)Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes., , , and . CoRR, (2022)Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data., , , , , , and . KDD, page 3011-3021. ACM, (2023)