TJ
Thorsten Joachims
cs.LGcs.IRcs.AIstat.MLcs.CYcs.CLcs.HCcs.ROcs.CVArtificial Intelligence
On Valency
published · living versionsW_6czxdnsj·v1 · currentpublished
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed
with Damien Lefortier, Adith Swaminathan, Xiaotao Gu, Maarten de Rijke
1 version
Preprints & journals
74 papers in the corpus · 2000–2026Learning to Sell: Reinforcement Learning for Strategic Large Language Model Agents in Multi-Product Markets2609.33289v2 · Shuze Daniel Liu, Claire Chen, Jiuqi Wang et al.2026 · 0 citationsarXiv
Value Over Language Model: Detecting Original Contribution in Writing2609.00700v1 · Vibhhu Sharma, Thorsten Joachims, Sarah Dean2026 · 0 citationsarXiv
Training Perspectives from the NIH T32 Artificial Intelligence for Precision Nutrition Programs.42632616 · Mehta, Saurabh, Huey, Samantha L, Massara, Paraskevi et al.2026 · 0 citationsThe Journal of nutrition. 2026;156(10):101796
Credit-assigned Policy Gradient for Early Stage Retrieval in Two-stage Ranking2605.26385v1 · Haruka Kiyohara, Mihaela Curmei, Ariel Evnine et al.2026 · 0 citationsarXiv
: Better Prompt Optimization with Fewer Prompts2604.08801v2 · Zhaolin Gao, Yu (Sid) Wang, Bo Liu et al.2026 · 0 citationsarXiv
The Digital Divide in Generative AI: Evidence from Large Language Model Use in College Admissions Essays2602.17791v1 · Jinsook Lee, Conrad Borchers, AJ Alvero et al.2026 · 0 citationsarXiv
Does Algorithmic Uncertainty Sway Human Experts? Evidence from a Field Experiment in Selective College Admissions2602.00241v2 · Hansol Lee, AJ Alvero, Ren'e F. Kizilcec et al.2026 · 0 citationsarXiv
Do LLMs Favor LLMs? Quantifying Interaction Effects in Peer Review2601.20920v1 · Vibhhu Sharma, Thorsten Joachims, Sarah Dean2026 · 2 citationsarXiv
SteerEval: A Framework for Evaluating Steerability with Natural Language Profiles for Recommendation2601.21105v1 · Joyce Zhou, Weijie Zhou, Doug Turnbull et al.2026 · 1 citationarXiv
Prompt Curriculum Learning for Efficient LLM Post-Training2510.01135v1 · Zhaolin Gao, Joongwon Kim, Wen Sun et al.2025 · 0 citationsarXiv
Prompt Optimization with Logged Bandit Data2504.02646v1 · Haruka Kiyohara, Daniel Yiming Cao, Yuta Saito et al.2025 · 0 citationsarXiv
Poor Alignment and Steerability of Large Language Models: Evidence from College Admission Essays2503.20062v2 · Jinsook Lee, AJ Alvero, Thorsten Joachims et al.2025 · 1 citationarXiv
MultiScale Contextual Bandits for Long Term Objectives2503.17674v2 · Richa Rastogi, Yuta Saito, Thorsten Joachims2025 · 0 citationsarXiv
End-to-end Training for Recommendation with Language-based User Profiles2410.18870v2 · Zhaolin Gao, Joyce Zhou, Yijia Dai et al.2024 · 1 citationarXiv
Algorithms for College Admissions Decision Support: Impacts of Policy Change and Inherent Variability2407.11199v1 · Jinsook Lee, Emma Harvey, Joyce Zhou et al.2024 · 4 citationsarXiv
REBEL: Reinforcement Learning via Regressing Relative Rewards2404.16767v4 · Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan et al.2024 · 3 citationsarXiv
Large Language Models, Social Demography, and Hegemony: Comparing Authorship in Human and Synthetic Textqfx4a_v1 · AJ Alvero, Jinsook Lee, Alejandra Regla-Vargas et al.2024 · 48 citationsSocArXiv
Language-Based User Profiles for Recommendation2402.15623v1 · Joyce Zhou, Yijia Dai, Thorsten Joachims2024 · 3 citationsarXiv
Reviewer2: Optimizing Review Generation Through Prompt Generation2402.10886v2 · Zhaolin Gao, Kiant'e Brantley, Thorsten Joachims2024 · 3 citationsarXiv
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition2402.06151v1 · Yuta Saito, Jihan Yao, Thorsten Joachims2024 · 0 citationsarXiv
Unbiased Offline Evaluation for Learning to Rank with Business Rules2311.01828v1 · Matej Jakimov, Alexander Buchholz, Yannik Stein et al.2023 · 0 citationsarXiv
Ranking with Slot Constraints2310.17870v1 · Wentao Guo, Andrew Wang, Bradon Thymes et al.2023 · 1 citationarXiv
GPT as a Baseline for Recommendation Explanation Texts2309.08817v1 · Joyce Zhou, Thorsten Joachims2023 · 3 citationsarXiv
Fairness in Ranking under Disparate Uncertainty2309.01610v4 · Richa Rastogi, Thorsten Joachims2023 · 3 citationsarXiv
Ranking with Long-Term Constraints2307.04923v3 · Kiant'e Brantley, Zhichong Fang, Sarah Dean et al.2023 · 5 citationsarXiv
Augmenting Holistic Review in University Admission using Natural Language Processing for Essays and Recommendation Letters2306.17575v1 · Jinsook Lee, Bradon Thymes, Joyce Zhou et al.2023 · 4 citationsarXiv
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling2305.08062v2 · Yuta Saito, Qingyang Ren, Thorsten Joachims2023 · 1 citationarXiv
Evaluating a Learned Admission-Prediction Model as a Replacement for Standardized Tests in College Admissions2302.03610v3 · Hansol Lee, Ren'e F. Kizilcec, Thorsten Joachims2023 · 10 citationsarXiv
Off-policy evaluation for learning-to-rank via interpolating the item-position model and the position-based model2210.09512v1 · Alexander Buchholz, Ben London, Giuseppe di Benedetto et al.2022 · 0 citationsarXiv
Boosted Off-Policy Learning2208.01148v2 · Ben London, Levi Lu, Ted Sandler et al.2022 · 2 citationsarXiv
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking2206.07247v2 · Yuta Saito, Thorsten Joachims2022 · 27 citationsarXiv
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems2205.15436v3 · Lequn Wang, Thorsten Joachims2022 · 22 citationsarXiv
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion2204.10936v1 · Adam Block, Rahul Kidambi, Daniel N. Hill et al.2022 · 2 citationsarXiv
Off-Policy Evaluation for Large Action Spaces via Embeddings2202.06317v2 · Yuta Saito, Thorsten Joachims2022 · 5 citationsarXiv
Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits2202.01721v1 · Aaron David Tucker, Thorsten Joachims2022 · 0 citationsarXiv
Improving Screening Processes via Calibrated Subset Selection2202.01147v3 · Lequn Wang, Thorsten Joachims, Manuel Gomez Rodriguez2022 · 2 citationsarXiv
Fairness in Ranking under Uncertainty2107.06720v2 · Ashudeep Singh, David Kempe, Thorsten Joachims2021 · 18 citationsarXiv
Optimizing Rankings for Recommendation in Matching Markets2106.01941v1 · Yi Su, Magd Bayoumi, Thorsten Joachims2021 · 21 citationsarXiv
Fairness of Exposure in Stochastic Bandits2103.02735v2 · Lequn Wang, Yiwei Bai, Wen Sun et al.2021 · 13 citationsarXiv
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets2010.01470v3 · Lequn Wang, Thorsten Joachims2020 · 57 citationsarXiv
Content-based Music Similarity with Triplet Networks2008.04938v2 · Joseph Cleveland, Derek Cheng, Michael Zhou et al.2020 · 3 citationsarXiv
Controlling Fairness and Bias in Dynamic Learning-to-Rank2005.14713v1 · Marco Morik, Ashudeep Singh, Jessica Hong et al.2020 · 211 citationsarXiv
MOReL : Model-Based Offline Reinforcement Learning2005.05951v3 · Rahul Kidambi, Aravind Rajeswaran, Praneeth Netrapalli et al.2020 · 213 citationsarXiv
Policy Learning for Fairness in Ranking1902.04056v2 · Ashudeep Singh, Thorsten Joachims2019 · 103 citationsarXiv
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning1811.02672v4 · Yi Su, Lequn Wang, Michele Santacatterina et al.2018 · 5 citationsarXiv
Intervention Harvesting for Context-Dependent Examination-Bias Estimation1811.01802v3 · Zhichong Fang, Aman Agarwal, Thorsten Joachims2018 · 53 citationsarXiv
Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank1806.03555v1 · Aman Agarwal, Ivan Zaitsev, Thorsten Joachims2018 · 5 citationsarXiv
A General Framework for Counterfactual Learning-to-Rank1805.00065v3 · Aman Agarwal, Kenta Takatsu, Ivan Zaitsev et al.2018 · 116 citationsarXiv
Improving Recommender Systems Beyond the Algorithm1802.07578v1 · Tobias Schnabel, Paul N. Bennett, Thorsten Joachims2018 · 14 citationsarXiv
Fairness of Exposure in Rankings1802.07281v2 · Ashudeep Singh, Thorsten Joachims2018 · 607 citationsarXiv
Career total: 321 works. 74 are in this corpus.Showing the 50 most recent.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.