Wenshuo Guo
13 papers · 2020–2023 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Cross-Pollinator (14) πΊοΈ Taxonomy Completionist (10) π£ Hot Topic Early Bird π§ Keyword Pioneer
π
Interdisciplinary Bridge
π
Century Club
(13)
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(78)
Conferences
NIPS (5)
AISTATS (4)
ICML (2)
CLEAR (1)
OSDI (1)
Top co-authors
Keywords
online learning
(3)
multi-armed bandit
(2)
kernel methods
(2)
robust optimization
(2)
resource allocation
(2)
causal inference
(2)
adversarial robustness
(1)
feature learning
(1)
neural tangent kernel
(1)
ensemble learning
(1)
game theory
(1)
optimal transport
(1)
ridge regression
(1)
sample complexity
(1)
mechanism design
(1)
policy optimization
(1)
inverse reinforcement learning
(1)
constrained optimization
(1)
computational complexity
(1)
distributed learning
(1)
Papers
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws
AISTATS 2023
Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback
OSDI 2023
Learning Competitive Equilibria in Exchange Economies with Bandit Feedback
AISTATS 2022
Off-Policy Evaluation with Policy-Dependent Optimization Response
NIPS 2022
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
AISTATS 2022
Partial Identification with Noisy Covariates: A Robust Optimization Approach
CLEAR 2022
No-Regret Learning in Partially-Informed Auctions
ICML 2022
Test-time Collective Prediction
NIPS 2021
Robust Learning of Optimal Auctions
NIPS 2021
Neural Kernels Without Tangents
ICML 2020
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models
NIPS 2020
Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter
AISTATS 2020
Robust Optimization for Fairness with Noisy Protected Groups
NIPS 2020