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Lu Yu
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Year
Oracle inequalities for high-dimensional prediction
J Lederer, L Yu, I Gaynanova
Bernoulli 25 (2), 1225-1255, 2019
402019
An analysis of constant step size sgd in the non-convex regime: Asymptotic normality and bias
L Yu, K Balasubramanian, S Volgushev, MA Erdogdu
Advances in Neural Information Processing Systems 34, 4234-4248, 2021
372021
Mirror descent strikes again: Optimal stochastic convex optimization under infinite noise variance
NM Vural, L Yu, K Balasubramanian, S Volgushev, MA Erdogdu
Conference on Learning Theory, 65-102, 2022
222022
False discovery rates in biological networks
L Yu, T Kaufmann, J Lederer
International Conference on Artificial Intelligence and Statistics, 163-171, 2021
72021
Spectral clustering with variance information for group structure estimation in panel data
L Yu, J Gu, S Volgushev
Journal of Econometrics 241 (1), 105709, 2024
22024
Spectral clustering with variance information for group structure estimation in panel data
L Yu, J Gu, S Volgushev
arXiv preprint arXiv:2201.01793, 2022
2*2022
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
L Yu, A Karagulyan, A Dalalyan
arXiv preprint arXiv:2306.08494, 2023
12023
Parallelized Midpoint Randomization for Langevin Monte Carlo
L Yu, A Dalalyan
arXiv preprint arXiv:2402.14434, 2024
2024
Latent Structure Estimation for Panel Data and Theoretical Guarantees for Stochastic Optimization
L Yu
University of Toronto (Canada), 2022
2022
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