ICML 2022 Schedule

(9 events) Timezone: »

The 2022 schedule is still incomplete

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Tutorial

Mon Jul 18 06:30 AM -- 08:30 AM (PDT)

Quantitative Reasoning About Data Privacy in Machine Learning

Chuan Guo · Reza Shokri

Tutorial

Mon Jul 18 06:30 AM -- 08:45 AM (PDT)

Validity, Reliability, and Significance: A Tutorial on Statistical Methods for Reproducible Machine Learning

Stefan Riezler · Michael Hagmann

Tutorial

Mon Jul 18 06:30 AM -- 08:30 AM (PDT)

Causality and deep learning: synergies, challenges& opportunities for research

Nan Rosemary Ke · Stefan Bauer

Tutorial

Mon Jul 18 10:00 AM -- 12:00 PM (PDT)

Bridging Learning and Decision Making

Dylan Foster · Alexander Rakhlin

Tutorial

Mon Jul 18 10:00 AM -- 12:00 PM (PDT)

Learning for Interactive Agents

Dorsa Sadigh · Anca Dragan

Tutorial

Mon Jul 18 10:00 AM -- 12:00 PM (PDT)

Climate Change and Machine Learning: Opportunities, Challenges, and Considerations

Priya Donti · David Rolnick · Lynn Kaack

Tutorial

Mon Jul 18 12:30 PM -- 02:30 PM (PDT)

Causal Fairness Analysis

Elias Bareinboim · Drago Plecko

Tutorial

Mon Jul 18 12:30 PM -- 02:50 PM (PDT)

Welcome to the "Big Model" Era: Techniques and Systems to Train and Serve Bigger Models

Hao Zhang · Lianmin Zheng · Zhuohan Li · Ion Stoica

Tutorial

Mon Jul 18 12:30 PM -- 02:30 PM (PDT)

Sampling as First-Order Optimization over a space of probability measures

Anna Korba · Adil Salim

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