Schedule

Morning Session

8:30 - 8:40 am Welcome & Opening Remarks

8:40 - 9:10 am Invited Talk by Alex Ratner: Building and Structuring Training Sets for Multi-Task Learning

9:10 - 9:40 am Invited Talk by Chelsea Finn: Meta-Learning: Challenges and Frontiers

9:40 - 9:55 am Contributed Talk: Learning Exploration Policies for Model-Agnostic Meta-Reinforcement Learning

9:55 - 10:10 am Contributed Talk: Lifelong Learning via Online Leverage Score Sampling

10:10 - 10:25 am Tricks of the Trade - Part 1 (Rich Caruana)

10:25 - 11:00 am Coffee break

11:00 - 12:00 pm Poster Session

Lunch Break: 12:00 - 1:45 pm

Afternoon Session

1:45 - 2:15 pm Invited Talk by Ameet Talwalkar: ARUBA: Efficient and Adaptive Meta-Learning with Provable Guarantees

2:15 - 2:45 pm Invited Talk by Massimiliano Pontil: Efficient lifelong learning algorithms: regret bounds and statistical guarantees

2:45 - 3:00 pm Tricks of Trade - Part 2 (Rich Caruana)

3:00 - 3:30 pm Coffee Break

3:30 - 4:00 pm Invited Talk by Andrej Karpathy: Multi-Task Learning in the Wilderness

4:00 - 4:30 pm Invited Talk by Justin Basilico: Recent Trends in Personalization: A Netflix Perspective

4:30 - 4:45 pm Contributed Talk: Improving Relevance Prediction with Transfer Learning in Large-scale Retrieval Systems

4:45 - 5:00 pm Contributed Talk: Continual Adaptation for Efficient Machine Communication

5:00 - 5:30 pm Invited Talk by Hannaneh Hajishirzi: Toward Robust AI Systems for Understanding and Reasoning Over Multimodal Data

5:30 - 6:00 pm Closing Remarks