Enlu Zhou
10 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory · Machine Learning
(9)
Mathematics & Optimization
(5)
Optimization
(5)
Artificial Intelligence
(3)
Deep Learning
(3)
Bayesian & Probabilistic
(3)
Application Areas
(2)
Architectures
(2)
Learning Types
(2)
Reinforcement Learning
(1)
Core AI
(1)
Methods
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
gradient descent
(4)
non-convex optimization
(4)
conditional value at risk
(2)
bayesian optimization
(2)
neural network
(2)
risk measure
(2)
markov decision process
(2)
bayesian inference
(2)
distributed learning
(1)
sequential optimization
(1)
matrix factorization
(1)
gaussian process
(1)
distributionally robust
(1)
convolutional network
(1)
posterior distribution
(1)
multi-objective optimization
(1)
parameter uncertainty
(1)
matrix recovery
(1)
asynchronous optimization
(1)
model uncertainty
(1)
Papers
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes
AAAI 2025
Bayesian Risk-Averse Q-Learning with Streaming Observations
NeurIPS 2023
Bayesian Risk Markov Decision Processes
NeurIPS 2022
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably
AISTATS 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise
ICML 2022
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization
AISTATS 2021
Bayesian Optimization of Risk Measures
NeurIPS 2020
Towards Understanding the Importance of Shortcut Connections in Residual Networks
NeurIPS 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
NeurIPS 2018