Susan Athey
11 papers · 2017–2025 · 4 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 ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Champion
(3)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(55)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(11)
Core Methods
(7)
Learning Types
(7)
Optimization & Theory
(7)
Artificial Intelligence
(5)
Core AI
(4)
Application Areas
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Methods
(2)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Keywords
contextual bandit
(6)
model misspecification
(3)
causal inference
(3)
word embedding
(2)
reward estimation
(2)
cumulative regret
(2)
bias-variance tradeoff
(2)
heterogeneous treatment effect
(2)
regret bound
(2)
variational inference
(1)
nash equilibrium
(1)
regret minimization
(1)
multi-agent learning
(1)
distribution shift
(1)
model selection
(1)
regret analysis
(1)
parameter estimation
(1)
off-policy evaluation
(1)
minimax regret
(1)
hierarchical modeling
(1)
Papers
Robust Offline Policy Learning with Observational Data from Multiple Sources
AISTATS 2025
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective
AISTATS 2024
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles
AISTATS 2023
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization
NeurIPS 2023
Adapting to misspecification in contextual bandits with offline regression oracles
ICML 2021
Tractable contextual bandits beyond realizability
AISTATS 2021
Stable Prediction with Model Misspecification and Agnostic Distribution Shift
AAAI 2020
Balanced Linear Contextual Bandits
AAAI 2019
Learning in Games with Lossy Feedback
NeurIPS 2018
Context Selection for Embedding Models
NeurIPS 2017
Structured Embedding Models for Grouped Data
NeurIPS 2017