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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
372019
An analysis of constant step size sgd in the non-convex regime: Asymptotic normality and bias
L Yu, K Balasubramanian, S Volgushev, MA Erdogdu
arXiv preprint arXiv:2006.07904, 2020
132020
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
82021
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
42022
False discovery rates in biological networks
L Yu, T Kaufmann, J Lederer
International Conference on Artificial Intelligence and Statistics, 163-171, 2021
32021
Group structure estimation for panel data--a general approach
L Yu, J Gu, S Volgushev
arXiv preprint arXiv:2201.01793, 2022
22022
Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance
N Mert Vural, L Yu, K Balasubramanian, S Volgushev, MA Erdogdu
arXiv e-prints, arXiv: 2202.11632, 2022
2022
Latent Structure Estimation for Panel Data and Theoretical Guarantees for Stochastic Optimization
L Yu
2022
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