Machine Learning-based Design of Proteins and Small Molecules

Channel:

Subscribers:

68,700

Published on August 5, 2019 6:40:07 PM ● Video Link: https://www.youtube.com/watch?v=SLRbGHXKkTw

Duration: 45:48

1,332 views

Other Videos By Simons Institute for the Theory of Computing

2019-08-07	Reinforcement Learning via an Optimization Lens
2019-08-06	Reinforcement Learning in Recommender Systems: Some Challenges
2019-08-06	Off-policy Policy Optimization
2019-08-06	Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes
2019-08-06	On the Hardness of Reinforcement Learning With Value-function Approximation
2019-08-06	Reinforcement Learning in Feature Space: Complexity and Regret
2019-08-05	Flexible Neural Networks and the Frontiers of Meta-Learning
2019-08-05	Aligning ML objectives with human values
2019-08-05	Is Deeper Better Only When Shallow Is Good?
2019-08-05	Efficient Deep Learning with Humans in the Loop
2019-08-05	Machine Learning-based Design of Proteins and Small Molecules
2019-08-05	Knowledge is embedded in language neural networks but can they reason?
2019-07-18	Sample-complexity of Estimating Convolutional and Recurrent Neural Networks
2019-07-18	Studying Generalization in Deep Learning via PAC-Bayes
2019-07-18	Towards Understanding Transfer Learning with Applications to Medical Imaging
2019-07-18	Kernel and Deep Regimes in Overparameterized Learning
2019-07-18	Meta-learning of Optimizers and Update Rules
2019-07-18	Robust Deep Learning Under Distribution Shift
2019-07-18	Using Deep Learning for Perception in Autonomous Systems: A Perspective from Control Theory
2019-07-17	Interpretability - now what?
2019-07-17	Lessons Learned from Evaluating the Robustness of Defenses to Adversarial Examples

Tags:

Jennifer Listgarten

Emerging Challenges in Deep Learning

Simons Institute

Theory of Computing

Theory of Computation

Theoretical Computer Science

Computer Science

UC Berkeley