Thorsten Joachims
30 papers · 2005–2025 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 40% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Thorsten Joachims?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Adith Swaminathan, Ashudeep Singh, Tobias Schnabel
12 papers
· 2012–2021
· NeurIPS, ICML, IJCAI
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Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract)
IJCAI 2021
Fairness in Ranking under Uncertainty
NeurIPS 2021
Policy Learning for Fairness in Ranking
NeurIPS 2019
Deep Learning with Logged Bandit Feedback
ICLR 2018
Unbiased Learning-to-Rank with Biased Feedback
IJCAI 2018
Recommendations as Treatments: Debiasing Learning and Evaluation
ICML 2016
Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization
JMLR 2015
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
ICML 2015
Evaluation methods for unsupervised word embeddings
EMNLP 2015
The Self-Normalized Estimator for Counterfactual Learning
NeurIPS 2015
Stable Coactive Learning via Perturbation
ICML 2013
Large-Margin Learning of Submodular Summarization Models
EACL 2012
8 papers whose co-authors appear nowhere else under this name
Bandits with costly reward observations
UAI 2023
Boosted Off-Policy Learning
AISTATS 2023
MOReL: Model-Based Offline Reinforcement Learning
NeurIPS 2020
Invited Talk: Learning from Rational Behavior
EMNLP 2014
Reducing Dueling Bandits to Cardinal Bandits
ICML 2014
Structured Learning of Sum-of-Submodular Higher Order Energy Functions
ICCV 2013
Multi-armed Bandit Problems with History
AISTATS 2012
Large Margin Methods for Structured and Interdependent Output Variables
JMLR 2005