(9 events)   Timezone: »  
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Tutorial
Mon Jul 18 06:30 AM -- 08:30 AM (PDT) @ Hall F None
Causality and Deep Learning: Synergies, Challenges and the Future
Nan Rosemary Ke · Stefan Bauer
Tutorial
Mon Jul 18 06:30 AM -- 08:30 AM (PDT) @ Ballroom 1 & 2 None
Quantitative Reasoning About Data Privacy in Machine Learning
Chuan Guo · Reza Shokri
Tutorial
Mon Jul 18 06:30 AM -- 08:45 AM (PDT) @ Room 307 None
Validity, Reliability, and Significance: A Tutorial on Statistical Methods for Reproducible Machine Learning
Stefan Riezler · Michael Hagmann
Tutorial
Mon Jul 18 10:00 AM -- 12:00 PM (PDT) @ Ballroom 1 & 2 None
Bridging Learning and Decision Making
Dylan Foster · Alexander Rakhlin
Tutorial
Mon Jul 18 10:00 AM -- 12:00 PM (PDT) @ Hall F None
Learning for Interactive Agents
Dorsa Sadigh · Anca Dragan
[ Slides] 
Tutorial
Mon Jul 18 10:00 AM -- 12:00 PM (PDT) @ Room 307 None
Climate Change and Machine Learning: Opportunities, Challenges, and Considerations
Priya Donti · David Rolnick · Lynn Kaack
[ Slides] 
Tutorial
Mon Jul 18 12:30 PM -- 02:30 PM (PDT) @ Ballroom 1 & 2 None
Sampling as First-Order Optimization over a space of probability measures
Anna Korba · Adil Salim
Tutorial
Mon Jul 18 12:30 PM -- 02:50 PM (PDT) @ Hall F None
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) @ Room 307 None
Causal Fairness Analysis
Elias Bareinboim · Drago Plecko