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Nathan Kallus

Cornell University · US
Area of research
Statistics and Probability · Management Science and Operations Research
Research interest
Research interests include Advanced Causal Inference Techniques, Statistical Methods and Inference, Advanced Bandit Algorithms Research, and Reinforcement Learning in Robotics.
h-index
31
citations
3,280
works
195
NIH funding
primary concept
email

Recent publications

Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
2025cited by 6position: middledoi
Is Cosine-Similarity of Embeddings Really About Similarity?
2024cited by 115position: lastdoi
Large Language Models as Zero-Shot Conversational Recommenders
2023cited by 114position: middledoi
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning
Operations Research 2022cited by 57position: firstdoi
Robust sample average approximation
Mathematical Programming 2017cited by 246position: lastdoi
Personalized Diabetes Management Using Electronic Medical Records
Diabetes Care 2016cited by 125position: middledoi
The Power of Optimization Over Randomization in Designing Experiments Involving Small Samples
Operations Research 2015cited by 101position: lastdoi
Predicting crowd behavior with big public data
2014cited by 96position: firstdoi

Grants

FAI: Auditing and Ensuring Fairness in Hard-to-Identify Settings
NSF1939704$381,8382020–2023PIRePORTER
CAREER: Robust Policy Learning for Safe and Reliable Algorithmic Decision Making from Observational Data in Sensitive Applications
NSF1846210$500,0002019–2025PIRePORTER
CRII: RI: New Methods for Learning to Personalize from Observational Data with Applications to Precision Medicine and Policymaking
NSF1656996$175,0002017–2020PIRePORTER

Frequent collaborators

· 3 papers (2023–2025)Dimitris Bertsimas · Massachusetts Institute of Technology3 papers (2015–2017)Zhankui He · University of California San Diego2 papers (2023–2025)Dawen Liang · Columbia University2 papers (2023–2025)Zhouhang Xie · University of California San Diego2 papers (2023–2025)Julian McAuley · University of California San Diego2 papers (2023–2025) · 2 papers (2023–2025)Bodhisattwa Prasad Majumder · Allen Institute1 papers (2023–2023)Ying Daisy Zhuo · Massachusetts Institute of Technology1 papers (2016–2016)Chaitanya Ekanadham · New York University1 papers (2024–2024) · 1 papers (2023–2023)Alexander Weinstein · Massachusetts Institute of Technology1 papers (2016–2016)Mac Johnson · Massachusetts Institute of Technology1 papers (2015–2015)Masatoshi Uehara · Chan Zuckerberg Initiative (United States)1 papers (2022–2022)Vishal Gupta · University of Southern California1 papers (2017–2017)