Meta-learning of Optimizers and Update Rules
Jascha Sohl-Dickstein (Google Brain)
https://simons.berkeley.edu/talks/tbd-60
Frontiers of Deep Learning
Видео Meta-learning of Optimizers and Update Rules канала Simons Institute
https://simons.berkeley.edu/talks/tbd-60
Frontiers of Deep Learning
Видео Meta-learning of Optimizers and Update Rules канала Simons Institute
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Berkeley in the 80s, Episode 5: Richard Karp
Adversarial Examples in Deep Learning
Quantum Advantage Without Structure
Remarks on the Discrete Cube
Fast Reinforcement Learning With Generalized Policy Updates
"The Problem with Qubits"
Stability and Learning in Repeated Games
Planning and Markov Decision Processes Part 1 (reupload)
Panel | Quantum Colloquium
Tractable Probabilistic Circuits
Algorithmic Fairness From The Lens Of Causality And Information Theory
Project CETI Next Steps: Industrial-Scale Whale Bioacoustic Data Collection and Analysis
Maximum Satisfiability Solving
Causal Matrix Completion
Learning and Incentives (Part I)
Optimal Transport and PDE: Gradient Flows in the Wasserstein Metric
Tutorial: Implicit Bias I
Using Theories of Decision-Making Under Uncertainty to Improve Data Visualization
Equivariant RL
Berkeley in the 80s, Episode 1: Shafi Goldwasser
The Role of Conventions in Adaptive Human-AI Interaction