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Equality of Opportunity in Rankings
Thorsten Joachims · Ashudeep Singh
Author Information
Thorsten Joachims (Cornell)
Ashudeep Singh (Cornell University)
More from the Same Authors
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2022 : Panel »
Hannah Korevaar · Manish Raghavan · Ashudeep Singh · Fernando Diaz · Chloé Bakalar · Alana Shine -
2022 : Q & A »
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2022 Tutorial: Fair and Socially Responsible ML for Recommendations: Challenges and Perspectives »
Ashudeep Singh · Manish Raghavan · Hannah Korevaar -
2022 : Tutorial part 1 »
Hannah Korevaar · Manish Raghavan · Ashudeep Singh -
2021 Poster: Fairness in Ranking under Uncertainty »
Ashudeep Singh · David Kempe · Thorsten Joachims -
2020 Poster: MOReL: Model-Based Offline Reinforcement Learning »
Rahul Kidambi · Aravind Rajeswaran · Praneeth Netrapalli · Thorsten Joachims -
2019 : Opening Remarks »
Thorsten Joachims · Nathan Kallus · Michele Santacatterina · Adith Swaminathan · David Sontag · Angela Zhou -
2019 Workshop: Machine Learning with Guarantees »
Ben London · Gintare Karolina Dziugaite · Daniel Roy · Thorsten Joachims · Aleksander Madry · John Shawe-Taylor -
2019 Workshop: “Do the right thing”: machine learning and causal inference for improved decision making »
Michele Santacatterina · Thorsten Joachims · Nathan Kallus · Adith Swaminathan · David Sontag · Angela Zhou -
2019 : Thorsten Joachim: Fair Ranking with Biased Data »
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2019 Poster: Policy Learning for Fairness in Ranking »
Ashudeep Singh · Thorsten Joachims -
2017 Workshop: From 'What If?' To 'What Next?' : Causal Inference and Machine Learning for Intelligent Decision Making »
Ricardo Silva · Panagiotis Toulis · John Shawe-Taylor · Alexander Volfovsky · Thorsten Joachims · Lihong Li · Nathan Kallus · Adith Swaminathan -
2016 : Panel Discussion »
Gisbert Schneider · Ross E Goodwin · Simon Colton · Russ Salakhutdinov · Thorsten Joachims · Florian Pinel -
2016 : Structured Prediction with Logged Bandit Feedback »
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2016 Workshop: "What If?" Inference and Learning of Hypothetical and Counterfactual Interventions in Complex Systems »
Ricardo Silva · John Shawe-Taylor · Adith Swaminathan · Thorsten Joachims -
2015 Poster: The Self-Normalized Estimator for Counterfactual Learning »
Adith Swaminathan · Thorsten Joachims -
2015 Spotlight: The Self-Normalized Estimator for Counterfactual Learning »
Adith Swaminathan · Thorsten Joachims -
2013 Poster: Learning Trajectory Preferences for Manipulators via Iterative Improvement »
Ashesh Jain · Brian Wojcik · Thorsten Joachims · Ashutosh Saxena -
2011 Poster: Semantic Labeling of 3D Point Clouds for Indoor Scenes »
Hema Koppula · Abhishek Anand · Thorsten Joachims · Ashutosh Saxena -
2007 Workshop: Machine Learning for Web Search »
Denny Zhou · Olivier Chapelle · Thorsten Joachims · Thomas Hofmann