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PDF) Understanding Machine Learning: From Theory to Algorithms | jinhui yi - Academia.edu
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Ignorance Is Almost Bliss: Near-Optimal Stochastic Matching with Few Queries
Ignorance Is Almost Bliss: Near-Optimal Stochastic Matching with Few Queries
Prof Rupert Ward on Twitter: "Looking forward to presenting, alongside many other interesting topics, @OEBconference next Tuesday. My talk is about how a 21st century skills taxonomy and microcredentialing framework can revolutionise
01-intro_6up-2.pdf - Outline of Today • Who we are? CS4780/5780 - Machine Learning Fall 2019 Nika Haghtalab & Thorsten Joachims Cornell | Course Hero
Extraction and Transfer of Knowledge in Reinforcement Learning A.LAZARIC Inria “30 minutes de Science” Seminars SequeL Inria Lille – Nord Europe December. - ppt download
Women Faculty | EECS at UC Berkeley
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Fall 20 Wisconsin RAs – IFDS
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Nika Haghtalab - Homepage
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Women Faculty | EECS at UC Berkeley
People – Center for Human-Compatible Artificial Intelligence
Miro Dudík at Microsoft Research
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NIPS 2014: Full Schedule
Faculty Profile: Nika Haghtalab / At Work Using Technology for Societal Good | Department of Computer Science
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Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency: The disparate equilibria of algorithmic decisi
Belief polarization in a complex world: A learning theory perspective | PNAS