filmov
tv
AaU, SoSe21: Lecture 23 (Basics of Online Convex Optimization I)
Показать описание
Thomas Kesselheim, Algorithms and Uncertainty, Summer 2021
AaU, SoSe21: Lecture 23 (Basics of Online Convex Optimization I)
AaU, SoSe21: Lecture 24 (Basics of Online Convex Optimization II)
AaU, SoSe21: Lecture 25 (Max-Flow via Experts)
AaU, SoSe21: Lecture 6 (Yao's Principle)
AaU, SoSe21: Lecture 8 (Markov Decision Processes)
AaU, SoSe21: Lecture 18 (Stochastic Multi-Armed Bandits)
AaU, SoSe21: Lecture 21 (No-Regret Learning: Multi-Armed Bandits 2)
Modulo Arithmetic Basics
The Gittins Policy in the M/G/1 Queue
RLVS 2021 - Day 3 - Regularized MDPs
Video 3: Hedge Algorithm
Video 2: Basic Framework of Online Learning
Min-max Optimization: From Complexity to Algorithms
Yao's principle
Online Multiserver Convex Chasing and Optimization
Follow The Leader Simulation B031810295
The Yao Principle
[W11-1] Online Convex Optimization
Online Optimization using ParaView and Separated Representation data
Biomechanics of Movement | Lecture 9.2: Dynamic Optimization of a Standing Long Jump
Yao's Minimax Theorem & IP_2's Communication Complexity || @ CMU || Lecture 23d of CS ...
4A1 Online Optimization with Feedback Delay and Nonlinear Switching Cost
Week 4: Lecture 20
Practice: application of the Yao principle to the scheduling problem
Комментарии