Thorsten Joachims

Thorsten Joachims

Cornell University

H-index: 80

North America-United States

About Thorsten Joachims

Thorsten Joachims, With an exceptional h-index of 80 and a recent h-index of 58 (since 2020), a distinguished researcher at Cornell University, specializes in the field of Machine Learning, Information Retrieval.

His recent articles reflect a diverse array of research interests and contributions to the field:

Reviewer2: Optimizing Review Generation Through Prompt Generation

POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition

Ranking with Long-Term Constraints

Language-Based User Profiles for Recommendation

Self-normalized off-policy estimators for ranking

Augmenting holistic review in university admission using natural language processing for essays and recommendation letters

CONSEQUENCES—The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems

Unbiased offline evaluation for learning to rank with business rules

Thorsten Joachims Information

University

Position

Professor of Computer Science

Citations(all)

80830

Citations(since 2020)

19325

Cited By

70630

hIndex(all)

80

hIndex(since 2020)

58

i10Index(all)

187

i10Index(since 2020)

130

Email

University Profile Page

Google Scholar

Thorsten Joachims Skills & Research Interests

Machine Learning

Information Retrieval

Top articles of Thorsten Joachims

Title

Journal

Author(s)

Publication Date

Reviewer2: Optimizing Review Generation Through Prompt Generation

arXiv preprint arXiv:2402.10886

Zhaolin Gao

Kianté Brantley

Thorsten Joachims

2024/2/16

POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition

arXiv preprint arXiv:2402.06151

Yuta Saito

Jihan Yao

Thorsten Joachims

2024/2/9

Ranking with Long-Term Constraints

Kianté Brantley

Zhichong Fang

Sarah Dean

Thorsten Joachims

2024/3/4

Language-Based User Profiles for Recommendation

arXiv preprint arXiv:2402.15623

Joyce Zhou

Yijia Dai

Thorsten Joachims

2024/2/23

Self-normalized off-policy estimators for ranking

Ben London

Alexander Buchholz

Giuseppe Di Benedetto

Jan Malte Lichtenberg

Yannik Stein

...

2023

Augmenting holistic review in university admission using natural language processing for essays and recommendation letters

Jinsook Lee

Bradon Thymes

Joyce Zhou

Thorsten Joachims

Rene F Kizilcec

2023/6/30

CONSEQUENCES—The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems

Olivier Jeunen

Thorsten Joachims

Harrie Oosterhuis

Yuta Saito

Flavian Vasile

...

2023/9/14

Unbiased offline evaluation for learning to rank with business rules

Matej Jakimov

Alexander Buchholz

Yannik Stein

Thorsten Joachims

2023

How to explain and justify almost any decision: Potential pitfalls for accountability in ai decision-making

Joyce Zhou

Thorsten Joachims

2023/6/12

Fair Ranking under Disparate Uncertainty

arXiv preprint arXiv:2309.01610

Richa Rastogi

Thorsten Joachims

2023/9/4

Boosted off-policy learning

Ben London

Levi Lu

Ted Sandler

Thorsten Joachims

2023/4/11

Evaluating a learned admission-prediction model as a replacement for standardized tests in college admissions

Hansol Lee

René F Kizilcec

Thorsten Joachims

2023/7/20

Ranking with Slot Constraints

arXiv preprint arXiv:2310.17870

Wentao Guo

Andrew Wang

Bradon Thymes

Thorsten Joachims

2023/10/27

Uncertainty quantification for fairness in two-stage recommender systems

Lequn Wang

Thorsten Joachims

2023/2/27

Off-policy evaluation for large action spaces via conjunct effect modeling

Yuta Saito

Qingyang Ren

Thorsten Joachims

2023/7/3

GPT as a Baseline for Recommendation Explanation Texts

arXiv preprint arXiv:2309.08817

Joyce Zhou

Thorsten Joachims

2023/9/16

Variance-Minimizing Augmentation Logging for Counterfactual Evaluation in Contextual Bandits

Aaron D Tucker

Thorsten Joachims

2023/2/27

Bandits with costly reward observations

Aaron D Tucker

Caleb Biddulph

Claire Wang

Thorsten Joachims

2023/7/2

Localify. org: Locally-focus Music Artist and Event Recommendation

Douglas Turnbull

April Trainor

Douglas R Turnbull

Elizabeth Richards

Kieran Bentley

...

2023/9/14

Counterfactual evaluation and learning for interactive systems: Foundations, implementations, and recent advances

Yuta Saito

Thorsten Joachims

2022/8/14

See List of Professors in Thorsten Joachims University(Cornell University)

Co-Authors

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