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Emerging Challenges in Deep Learning
Program
Foundations of Deep Learning
Location
Calvin Lab auditorium
Date
Monday, Aug. 5
–
Thursday, Aug. 8, 2019
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The Workshop
Schedule
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Monday, Aug. 5, 2019
9
–
9:20 a.m.
Coffee and Check-In
9:20
–
9:30 a.m.
Opening Remarks
9:30
–
10:15 a.m.
Knowledge is embedded in language neural networks but can they reason?
Chris Manning (Stanford University)
10:15
–
11 a.m.
Machine Learning-based Design of Proteins and Small Molecules
Jennifer Listgarten (UC Berkeley)
11
–
11:30 a.m.
Break
11:30 a.m.
–
12:15 p.m.
Efficient Deep Learning with Humans in the Loop
Zachary Lipton (Carnegie Mellon University)
12:15
–
2:15 p.m.
Lunch
2:15
–
3 p.m.
Aligning ML objectives with human values
Paul Christiano (US AI Safety Institute)
3
–
3:45 p.m.
Is Deeper Better Only When Shallow Is Good?
Shai Shalev-Shwartz (The Hebrew University of Jerusalem)
3:45
–
4:15 p.m.
Break
4:15
–
5 p.m.
Flexible Neural Networks and the Frontiers of Meta-Learning
Chelsea Finn (Stanford University)
5
–
6 p.m.
Reception
Tuesday, Aug. 6, 2019
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
10:15 a.m.
On the Hardness of Reinforcement Learning With Value-function Approximation
Nan Jiang (University of Illinois Urbana-Champaign)
10:15
–
11 a.m.
Reinforcement Learning in Feature Space: Complexity and Regret
Mengdi Wang (Princeton University)
11
–
11:30 a.m.
Break
11:30 a.m.
–
12:15 p.m.
Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes
Alekh Agarwal (Microsoft Research Redmond)
12:15
–
2:15 p.m.
Lunch
2:15
–
3 p.m.
Off-policy Policy Optimization
Dale Schuurmans (Google Brain & University of Alberta)
3
–
3:45 p.m.
Reinforcement Learning in Recommender Systems: Some Challenges
Craig Boutilier (Google and University of Toronto)
3:45
–
4:15 p.m.
Break
4:15
–
5 p.m.
Panel
Lihong Li (Google Brain)
,
Jennifer Listgarten (UC Berkeley)
,
Elchanan Mossel (Massachusetts Institute of Technology)
,
Shai Shalev-Shwartz (The Hebrew University of Jerusalem)
,
Mengdi Wang (Princeton University)
,
Po-Ling Loh (University of Wisconsin, Madison)
,
Matus Telgarsky (New York University)
Wednesday, Aug. 7, 2019
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
10:15 a.m.
Reinforcement Learning via an Optimization Lens
Lihong Li (Google Brain)
10:15
–
11 a.m.
Towards Verified Deep Learning
Sanjit Seshia (UC Berkeley)
11
–
11:30 a.m.
Break
11:30 a.m.
–
12:15 p.m.
Integrating Constraints into Deep Learning Architectures with Structured Layers
Zico Kolter (CMU Bosch)
12:15
–
2:15 p.m.
Lunch
2:15
–
3 p.m.
The Measure and Mismeasure of Fairness
Sharad Goel (Stanford University)
3
–
3:45 p.m.
Procurement as Policy: Administrative Process For Machine Learning
Deirdre Mulligan (UC Berkeley)
3:45
–
4:15 p.m.
Break
4:15
–
5 p.m.
Panel on Ethics
Sharad Goel (Stanford University)
,
Deirdre Mulligan (UC Berkeley)
,
Emily Witt (Salesforce)
,
Alice Xiang (Partnership on AI)
,
Deirdre Mulligan (UC Berkeley)
,
Matus Telgarsky (New York University)
Thursday, Aug. 8, 2019
10:15
–
10:45 a.m.
Coffee and Check-In
10:45
–
11:30 a.m.
Inherent Trade-offs with the Local Explanations Paradigm
Julius Adebayo (MIT)
11:30 a.m.
–
12:15 p.m.
How to Fail Interpretability Research
Been Kim (Google Brain)
12:15
–
2:15 p.m.
Lunch
2:15
–
3 p.m.
Better Learning from the Past: Counterfactual / Batch RL
Emma Brunskill (Stanford University)
3
–
3:45 p.m.
Designing Robust Learners
Jacob Steinhardt (Stanford University)
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