Chaoqi Wang
11 papers · 2018–2024 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (6) π Cross-Pollinator (10)
π
Conference Polyglot
(4)
π
Century Club
(11)
β
The Questioner
Conferences
AISTATS (3)
ICLR (3)
ICML (3)
NIPS (2)
Top co-authors
Keywords
active learning
(2)
model-based reinforcement learning
(2)
gaussian process
(2)
contrastive learning
(1)
online learning
(1)
imitation learning
(1)
offline reinforcement learning
(1)
bayesian inference
(1)
gaussian processes
(1)
policy learning
(1)
posterior sampling
(1)
kernel learning
(1)
policy improvement
(1)
exploration exploitation
(1)
policy optimization
(1)
sample efficiency
(1)
approximate bayesian inference
(1)
query learning
(1)
query complexity
(1)
neural network compression
(1)
Papers
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints
ICLR 2024
Model-based Policy Optimization under Approximate Bayesian Inference
AISTATS 2024
Donβt Be Pessimistic Too Early: Look K Steps Ahead!
AISTATS 2024
Active Policy Improvement from Multiple Black-box Oracles
ICML 2023
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
NIPS 2023
Teaching an Active Learner with Contrastive Examples
NIPS 2021
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
AISTATS 2021
Picking Winning Tickets Before Training by Preserving Gradient Flow
ICLR 2020
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
ICML 2019
Three Mechanisms of Weight Decay Regularization
ICLR 2019
Differentiable Compositional Kernel Learning for Gaussian Processes
ICML 2018