Jiechao Xiong
8 papers · 2016–2025 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (29)
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(5)
Venues
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Research topics
Machine Learning
(6)
Deep Learning
(5)
Reinforcement Learning
(4)
Learning Types Β· Machine Learning
(4)
Methods
(4)
Mathematics & Optimization
(3)
Learning Types Β· Deep Learning
(3)
Data Science & Analytics
(2)
Core Methods
(2)
Optimization
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Application Areas
(1)
Applications
(1)
Keywords
imitation learning
(2)
offline reinforcement learning
(1)
bregman divergence
(1)
false discovery rate
(1)
knockoff filter
(1)
online learning
(1)
model selection
(1)
policy optimization
(1)
matrix factorization
(1)
function approximation
(1)
preference learning
(1)
policy learning
(1)
agent communication
(1)
image denoising
(1)
multi-agent reinforcement learning
(1)
multi-agent learning
(1)
learning to rank
(1)
batch learning
(1)
off-policy learning
(1)
deep reinforcement learning
(1)
Papers
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
ICLR 2025
Greedy when Sure and Conservative when Uncertain about the Opponents
ICML 2022
Who Likes What? β SplitLBI in Exploring Preferential Diversity of Ratings
AAAI 2020
Divergence-Augmented Policy Optimization
NeurIPS 2019
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI
ICML 2019
Exponentially Weighted Imitation Learning for Batched Historical Data
NeurIPS 2018
False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking
ICML 2016
Split LBI: An Iterative Regularization Path with Structural Sparsity
NeurIPS 2016