Thorsten Joachims
- MOReL : Model-Based Offline Reinforcement Learning
2020/05/12 by Rahul Kidambi, Kidambi, Rahul, Aravind Rajeswaran +5 · 45 citations
Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Data Stream Mining Techniques
- Unbiased Learning-to-Rank with Biased Feedback
2016/08/16 by Thorsten Joachims, Adith Swaminathan, Joachims, Thorsten +3 · 23 citations
Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior #Machine Learning (cs.LG) #Machine Learning and Algorithms #Optimization and Search Problems
- Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
2015/02/09 by Adith Swaminathan, Thorsten Joachims, Swaminathan, Adith +1 · 15 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Machine Learning and Data Classification
- Learning Preferences for Manipulation Tasks from Online Coactive\n Feedback
2016/01/05 by Ashesh Jain, Jain, Ashesh, Shikhar Sharma +5 · 5 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Optimization and Search Problems #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Policy Learning for Fairness in Ranking
2019/02/11 by Ashudeep Singh, Singh, Ashudeep, Thorsten Joachims +1 · 5 citations
Computer Science · Decision Sciences · #Auction Theory and Applications #Computers and Society (cs.CY) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data
- Reducing Dueling Bandits to Cardinal Bandits
2014/05/14 by Nir Ailon, Thorsten Joachims, Ailon, Nir +3 · 4 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
- Methods for Ordinal Peer Grading
2014/04/14 by Karthik Raman, Raman, Karthik, Thorsten Joachims +1 · 3 citations
Computer Science · Social Sciences · Engineering · #Machine Learning and Algorithms #Student Assessment and Feedback #Non-Destructive Testing Techniques
- REBEL: Reinforcement Learning via Regressing Relative Rewards
2024/04/25 by Zhaolin Gao, Gao, Zhaolin, Jonathan Chang +17 · 8 citations
Computer Science · #Reinforcement Learning in Robotics
- Large-scale validation and analysis of interleaved search evaluation
2012/02/01 by Olivier Chapelle, Thorsten Joachims, Filip Radlinski +1 · 3 citations
Computer Science · #Expert finding and Q&A systems #Information Retrieval and Search Behavior #Recommender Systems and Techniques
- Unbounded Human Learning: Optimal Scheduling for Spaced Repetition
2016/02/23 by Siddharth Reddy, Igor Labutov, Siddhartha Banerjee +1 · 2 voices
Computer Science · #cs.AI #cs.CY
- Large language models, social demography, and hegemony: comparing authorship in human and synthetic text
2024/09/27 by AJ Alvero, Jinsook Lee, Alejandra Regla-Vargas +3 · 1 voice · 6 citations
Computer Science · #Authorship Attribution and Profiling #Hate Speech and Cyberbullying Detection #Topic Modeling
- End-to-end Training for Recommendation with Language-based User Profiles
2024/10/24 by Zhaolin Gao, Joyce Zhou, Gao, Zhaolin +5 · 6 citations
Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling
- Fairness in Ranking under Uncertainty
2021/07/14 by Ashudeep Singh, Singh, Ashudeep, David Kempe +3 · 2 citations
Decision Sciences · Economics, Econometrics and Finance · #Auction Theory and Applications #Game Theory and Voting Systems #Game Theory and Applications
- Online Structured Prediction via Coactive Learning
2012/05/18 by Pannagadatta K. Shivaswamy, Shivaswamy, Pannaga, Thorsten Joachims +1 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning and Algorithms
- Using Shortlists to Support Decision Making and Improve Recommender\n System Performance
2015/10/26 by Tobias Schnabel, Schnabel, Tobias, Paul N. Bennett +5 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning and Algorithms #Recommender Systems and Techniques
- Optimizing Rankings for Recommendation in Matching Markets
2021/06/03 by Yi Su, Su, Yi, Magd Bayoumi +3 · 1 citation
Decision Sciences · Economics, Econometrics and Finance · #Advanced Bandit Algorithms Research #Auction Theory and Applications #FOS: Computer and information sciences #Game Theory and Voting Systems #Information Retrieval (cs.IR)
- Improving Screening Processes via Calibrated Subset Selection
2022/02/02 by Lequn Wang, Thorsten Joachims, Wang, Lequn +3 · 1 citation
Mathematics · Medicine · #Advanced Causal Inference Techniques #Census and Population Estimation #Computers and Society (cs.CY) #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Prompt Curriculum Learning for Efficient LLM Post-Training
2025/10/01 by Zhaolin Gao, Gao, Zhaolin, Joongwon Kim +11 · 6 citations
Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Higher Education Learning Practices #Machine Learning (cs.LG)
- Poor Alignment and Steerability of Large Language Models: Evidence from College Admission Essays
2025/03/25 by Jinsook Lee, Lee, Jinsook, AJ Alvero +5 · 2 citations
Medicine · Social Sciences · Computer Science · #Medical Education and Admissions #Names, Identity, and Discrimination Research #Text Readability and Simplification
- The Digital Divide in Generative AI: Evidence from Large Language Model Use in College Admissions Essays
2026/02/19 by Jinsook Lee, Conrad Borchers, AJ Alvero +2 · 2 voices
#cs.CY