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207 Results
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Workshop
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Indexing AI Risks with Incidents, Issues, and Variants Sean McGregor · Kevin Paeth · Khoa Lam |
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Workshop
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Uncertainty-Driven Exploration for Generalization in Reinforcement Learning Yiding Jiang · J. Zico Kolter · Roberta Raileanu |
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Workshop
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Human-in-the-loop Bias Mitigation in Data Science Romila Pradhan · Tianyi Li |
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Workshop
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Tensions Between the Proxies of Human Values in AI Daniel Nissani · Teresa Datta · John Dickerson · Max Cembalest · Akash Khanna · Haley Massa |
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Workshop
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Fri 9:30 |
Accessible and fair machine learning models for risk prediction of schizophrenia spectrum disorders Marina Camacho · Polyxeni Gkontra · Angélica Atehortúa · Karim Lekadir |
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Workshop
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Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs Albert Jiang · Sean Welleck · Jin Peng Zhou · Timothee Lacroix · Jiacheng Liu · Wenda Li · Mateja Jamnik · Guillaume Lample · Yuhuai Wu |
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Workshop
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Seq2MSA: A Language Model for Protein Sequence Diversification Pascal Sturmfels · Roshan Rao · Robert Verkuil · Zeming Lin · Tom Sercu · Adam Lerer · Alex Rives |
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Workshop
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Towards Algorithmic Fairness in Space-Time: Filling in Black Holes Cheryl Flynn · Aritra Guha · Subhabrata Majumdar · Divesh Srivastava · Zhengyi Zhou |
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Workshop
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Scalable and Improved Algorithms for Individually Fair Clustering Mohammadhossein Bateni · Vincent Cohen-Addad · Alessandro Epasto · Silvio Lattanzi |
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Tutorial
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Mon 11:00 |
Incentive-Aware Machine Learning: A Tale of Robustness, Fairness, Improvement, and Performativity Chara Podimata |
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Workshop
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Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps Sudeep Dasari · Vikash Kumar |
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Tutorial
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Mon 11:00 |
Algorithmic fairness: at the intersections Golnoosh Farnadi · Q.Vera Liao · Elliot Creager |