More from the Same Authors

• 2022 : Panel »
  Hannah Korevaar · Manish Raghavan · Ashudeep Singh · Fernando Diaz · Chloé Bakalar · Alana Shine
• 2022 : Q & A »
  Hannah Korevaar · Manish Raghavan · Ashudeep Singh
• 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 »
  Thorsten Joachims
• 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 »
  Thorsten Joachims
• 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