Thorsten Joachims

Professor
Computer Science DEPT · BCIS

Thorsten Joachims serves as Professor in Computer Science at Cornell University.

287 publications
52,614 citations
69 h-index
Computer Science
Top Papers (3)
2007-04-01 · ACM Transactions on Information Systems · Information Systems
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
101.9x expected for field · 683 citations
2018-07-19 · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · Safety Research
Fairness of Exposure in Rankings
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
101.0x expected for field · 603 citations
2009-05-08 · Machine Learning · Artificial Intelligence
Cutting-plane training of structural SVMs
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
86.2x expected for field · 974 citations
Recent Papers (47)
2026-09-25
CONSEQUENCES '26 — The 5th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2026-08-01 · Journal of Nutrition · Genetics
Training Perspectives from the NIH T32 Artificial Intelligence for Precision Nutrition Programs
David EricksonProfessor, Mechanical & Aerospace Engr DEPT · EN
Julia L. FinkelsteinProf Assoc, HE Nutritional Science · CHE
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
Martin T. WellsProfessor, ILR Statistics and Data Science · ILR
2026-06-23 · ArXiv.org · Safety Research
Does Algorithmic Uncertainty Sway Human Experts? Evidence from a Field Experiment in Selective College Admissions
René F. KizilcecProf Assoc, Information Science DEPT · BCIS
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2026-06-23 · Statistics, Probability and Uncertainty
Do LLMs Favor LLMs? Quantifying Interaction Effects in Peer Review
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
Sarah DeanProf Asst, Computer Science DEPT · BCIS
2026-06-22 · Health Informatics
The Digital Divide in Generative AI: Evidence from Large Language Model Use in College Admissions Essays
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
René F. KizilcecProf Assoc, Information Science DEPT · BCIS
2026-05-25 · arXiv (Cornell University) · Information Systems
Credit-assigned Policy Gradient for Early Stage Retrieval in Two-stage Ranking
Sarah DeanProf Asst, Computer Science DEPT · BCIS
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2026-04-09 · arXiv (Cornell University) · Artificial Intelligence
$p1$: Better Prompt Optimization with Fewer Prompts
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2025-11-08 · Information Systems
LangPTune: Optimizing Language-based User Profiles for Recommendation
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2022-08-12
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2021-07-14
Fairness in Ranking under Uncertainty
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2021-07-11
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2021-07-11
Policy-Gradient Training of Fair and Unbiased Ranking Functions
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2021-03-03
Fairness of Exposure in Stochastic Bandits
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2020-10-04
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2020-08-20
Off-policy Bandits with Deficient Support
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2020-07-25
Controlling Fairness and Bias in Dynamic Learning-to-Rank
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2019-07-18
Intervention Harvesting for Context-Dependent Examination-Bias Estimation
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2019-02-11
Policy Learning for Fairness in Ranking
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2019-02-11
Policy Learning for Fairness in Ranking
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2019-01-30
Estimating Position Bias without Intrusive Interventions
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2018-11-06
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2018-07-19
Fairness of Exposure in Rankings
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2018-04-30
A General Framework for Counterfactual Learning-to-Rank
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2017-08-04
Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2017-05-03
Ranking with Social Cues: Integrating Online Review Scores and Popularity Information
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2016-08-16
Unbiased Learning-to-Rank with Biased Feedback
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2016-04-25
Unbiased Comparative Evaluation of Ranking Functions
Peter I. FrazierProf Assoc, Operations Research & Info Eng DEPT · EN
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2016-02-23
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition
Siddhartha BanerjeeProf Assoc, Operations Research & Info Eng DEPT · EN
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2016-02-23
Latent Skill Embedding for Personalized Lesson Sequence Recommendation
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2016-02-17
Recommendations as Treatments: Debiasing Learning and Evaluation
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2016-01-05
Learning Preferences for Manipulation Tasks from Online Coactive Feedback
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2016-01-05
Learning Preferences for Manipulation Tasks from Online Coactive\n Feedback
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2015-10-26
Using Shortlists to Support Decision Making and Improve Recommender System Performance
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2015-02-09
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2014-05-14
Reducing Dueling Bandits to Cardinal Bandits
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2014-04-14
Methods for Ordinal Peer Grading
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2013-09-28
Structured learning of sum-of-submodular higher order energy functions
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
Ramin ZabihProfessor, Cornell Tech Faculty · TECH
2013-06-26
Learning Trajectory Preferences for Manipulators via Iterative Improvement
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2012-07-04
Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2012-05-18
Online Structured Prediction via Coactive Learning
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2011-08-13
Structured Learning of Two-Level Dynamic Rankings
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2011-06-28
Labeling 3D scenes for Personal Assistant Robots
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2007-04-23
Recommending Related Papers Based on Digital Library Access Records
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2006-05-09
Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2006-05-08
Query Chains: Learning to Rank from Implicit Feedback
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2005-07-26
Unstructuring user preferences: efficient non-parametric utility revelation
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS
2004-04-06
Mapping subsets of scholarly information
Paul GinspargProfessor, Information Science DEPT · BCIS
Thorsten JoachimsProfessor, Computer Science DEPT · BCIS