Wenshuo Guo
13 papers · 2020–2023 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (28) ποΈ Keyword Collector (78)
π
Trend Setter
π
Century Club Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(10)
Mathematics & Optimization
(7)
Optimization
(7)
Artificial Intelligence
(6)
Core AI
(5)
Learning Types Β· Machine Learning
(5)
Application Areas
(2)
Core Methods
(2)
Deep Learning
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Mathematics
(1)
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
Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback
OSDI 2023
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws
AISTATS 2023
Learning Competitive Equilibria in Exchange Economies with Bandit Feedback
AISTATS 2022
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
AISTATS 2022
No-Regret Learning in Partially-Informed Auctions
ICML 2022
Off-Policy Evaluation with Policy-Dependent Optimization Response
NeurIPS 2022
Partial Identification with Noisy Covariates: A Robust Optimization Approach
CLeaR 2022
Robust Learning of Optimal Auctions
NeurIPS 2021
Test-time Collective Prediction
NeurIPS 2021
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models
NeurIPS 2020
Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter
AISTATS 2020
Neural Kernels Without Tangents
ICML 2020
Robust Optimization for Fairness with Noisy Protected Groups
NeurIPS 2020