Enlu Zhou
10 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird π Conference Polyglot (4)
π
Academic Marathon
(7)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(5)
π
Century Club
(10)
π₯
Unstoppable
(6)
Conferences
NIPS (5)
AISTATS (2)
ICML (2)
AAAI (1)
Top co-authors
Keywords
gradient descent
(4)
non-convex optimization
(2)
risk measure
(2)
nonconvex optimization
(2)
bayesian inference
(2)
bayesian optimization
(2)
neural network
(2)
markov decision process
(2)
sequential optimization
(1)
gaussian process
(1)
matrix factorization
(1)
posterior distribution
(1)
multi-objective optimization
(1)
distributionally robust
(1)
convex optimization
(1)
parameter uncertainty
(1)
matrix recovery
(1)
model uncertainty
(1)
asynchronous optimization
(1)
distributed learning
(1)
Papers
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes
AAAI 2025
Bayesian Risk-Averse Q-Learning with Streaming Observations
NIPS 2023
Robust Multi-Objective Bayesian Optimization Under Input Noise
ICML 2022
Bayesian Risk Markov Decision Processes
NIPS 2022
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably
AISTATS 2022
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization
AISTATS 2021
Bayesian Optimization of Risk Measures
NIPS 2020
Towards Understanding the Importance of Shortcut Connections in Residual Networks
NIPS 2019
Toward Understanding the Importance of Noise in Training Neural Networks
ICML 2019
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
NIPS 2018