Equilibrium Computation And Machine Learning

Equilibrium Computation and Machine Learning

Simons Institute

Equilibrium Computation and the Foundations of Multi-Agent Machine Learning

Simons Institute

Equilibrium Computation and the Foundations of Deep Learning

Algorithmic Learning Theory

"Equilibrium Computation and the Foundations of Deep Learning" — Constantinos Daskalakis (MIT)

Math and Data Plus

Constantinos Daskalakis: How hard is Equilibrium Learning in Multi-Agent RL?

Israeli Algorithmic Game Theory Seminar

[WINE'20] Equilibrium Computation and the Foundations of Deep Learning

Center on Frontiers of Computing Studies, PKU

Costis Daskalakis on Foundation of Data Science Series (Feb 18, 2021)

I can't STOP reading these Machine Learning Books!

Nicholas Renotte

Adam Optimizer from scratch | Gradient descent made better | Foundations for ML [Lecture 26]

Yoshua Bengio - More Hardware-Friendly Deep Learning

DDN Invited Talk: Deep equilibrium models and monotone operators (Zico Kolter)

AGT and Machine Learning

Simons Institute

November 9, 2020, EQUILIBRIUM COMPUTTION AND THE FOUNDATION OF DEEP LEARNING , COSTIS DASKALATIS

Evolutionary Computation vs Reinforcement Learning vs Deep Learning | Risto Miikkulainen

Andrew Ng's Secret to Mastering Machine Learning - Part 1 #shorts

Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models CVPR2023

NVIDIA Developer

A Beautiful Equilibrium Two - Georgia Tech - Machine Learning

Is There a Framework for Deep Learning in Multi-Agent Settings?

Simons Institute

Deep Learning Foundations: Constantinos Daskalakis's talk on Equilibrium Complexity & Deep Learning