Jincheng Mei
21 papers · 2016–2025 · 7 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (32) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Triple Crown
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(16)
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Century Club · Bronze
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Research topics
Machine Learning
(17)
Reinforcement Learning
(15)
Optimization & Theory
(15)
Methods
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Learning Types
(5)
Mathematics & Optimization
(4)
Optimization
(4)
Applications · Reinforcement Learning
(3)
Core Methods
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Artificial Intelligence
(2)
Natural Language Processing
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Core AI
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Data Science & Analytics
(1)
Deep Learning
(1)
Applications · Natural Language Processing
(1)
Keywords
convergence rate
(4)
global convergence
(3)
exploration-exploitation tradeoff
(2)
regret bound
(2)
softmax policy
(2)
natural policy gradient
(2)
value function
(2)
policy gradient
(2)
multi-armed bandit
(2)
reinforcement learning
(2)
stochastic gradient
(2)
policy optimization
(2)
sample efficiency
(2)
online learning
(2)
convergence analysis
(2)
mirror descent
(2)
sentiment analysis
(1)
maximum entropy
(1)
probabilistic modeling
(1)
stochastic gradient descent
(1)
Papers
Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment
AISTATS 2025
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF
ICLR 2025
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates
NeurIPS 2024
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation
ICML 2024
Ordering-based Conditions for Global Convergence of Policy Gradient Methods
NeurIPS 2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
ICML 2023
Stochastic Gradient Succeeds for Bandits
ICML 2023
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games
NeurIPS 2022
The Role of Baselines in Policy Gradient Optimization
NeurIPS 2022
Understanding and Leveraging Overparameterization in Recursive Value Estimation
ICLR 2022
Understanding and mitigating the limitations of prioritized experience replay
UAI 2022
Leveraging Non-uniformity in First-order Non-convex Optimization
ICML 2021
On the Optimality of Batch Policy Optimization Algorithms
ICML 2021
Understanding the Effect of Stochasticity in Policy Optimization
NeurIPS 2021
Escaping the Gravitational Pull of Softmax
NeurIPS 2020
Frequency-based Search-control in Dyna
ICLR 2020
On the Global Convergence Rates of Softmax Policy Gradient Methods
ICML 2020
Maximum Entropy Monte-Carlo Planning
NeurIPS 2019
On Principled Entropy Exploration in Policy Optimization
IJCAI 2019
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters
EMNLP 2017
On the Reducibility of Submodular Functions
AISTATS 2016