Data-Driven Dynamical Systems Overview
This video provides a high-level overview of this new series on data-driven dynamical systems. In particular, we explore the various challenges in modern ...
Steve Brunton
Stephen Tu on "Least Squares Policy Iteration" [PWL NYC]
Meetup: http://bit.ly/2y3Qc1j Paper: https://users.cs.duke.edu/~parr/jmlr03.pdf Slides: http://bit.ly/2wkPmsN Audio: http://bit.ly/2xyqSQw ...
PapersWeLove
Price signal quality in stochastic energy optimization - Tese 2020
Título: “Price signal quality in stochastic energy optimization” Aluna: Clara Macêdo Lage Data: 25 de Junho de 2020 Entrevista: https://bit.ly/3fPZArd Banca: ...
Instituto de Matemática Pura e Aplicada
When Uncertainty Matters: Stochastic Programming for Inventory Model with Python - PyCon SG 2019
Speaker: Novia Listiyani, Data Scientist Difference between selling price and cost price really matters – especially in retail industry. In fact, the ability to exploit ...
PyCon SG
Lecture 22 Deterministic Optimization
Jordan Kern
Warren Powell, "A Unified Framework for Handling Decisions and Uncertainty"
Problems in energy and sustainability represent a rich mixture of decisions intermingled with different forms of uncertainty. These decision problems have been ...
CompSustNet
Dynamic optimization, lecture 2, part 2
Алекс Драгонэйч
Lecture 3 | MIT 6.832 (Underactuated Robotics), Spring 2020 | Dynamic Programming I
For more about the course see the website: http://underactuated.csail.mit.edu/Spring2020/
6.832 Underactuated Robotics
Lecture 5 | Convex Optimization I (Stanford)
Professor Stephen Boyd, of the Stanford University Electrical Engineering department, lectures on the different problems that are included within convex ...
Stanford
Probabilistic Programming for Stochastic Dynamical Systems | Professor Jane Hillston (Lecture 3)
Jane Hillston was appointed Professor of Quantitative Modelling in the School of Informatics at the University of Edinburgh in 2006, having joined the University ...
University of St Andrews
Benjamin Recht: Optimization Perspectives on Learning to Control (ICML 2018 tutorial)
Abstract: Given the dramatic successes in machine learning over the past half decade, there has been a resurgence of interest in applying learning techniques ...
Steven Van Vaerenbergh
Dynamic Neural Network Structures Through Stochastic Rewiring
Robert Legenstein, Graz University of Technology https://simons.berkeley.edu/talks/robert-legenstein-4-17-18 Computational Theories of the Brain.
Simons Institute
MIA: Volker Bergen, RNA velocity generalized to transient cell states through dynamical modeling
Models, Inference and Algorithms December 6, 2019 MIA Meeting: ...
Broad Institute
Lecture 9 | Introduction to Linear Dynamical Systems
Professor Stephen Boyd, of the Electrical Engineering department at Stanford University, lectures on autonomous linear dynamical systems for the course, ...
Stanford
Introduction to Optimization and Optimal Control using the software packages CasADi and ACADO
Adriaen Verheyleweghen and Christoph Backi Virtual Simulation Lab seminar series http://www.virtualsimlab.com.
Virtual Simulation Lab
L4DC 2020 Livestream (Thursday, June 11)
Livestream of the L4DC conference. l4dc.org Livestream of the L4DC conference. l4dc.org.
Learning for Dynamics and Control [L4DC]
Lecture 11 | Convex Optimization II (Stanford)
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd lectures on ...
Stanford
Dynamic Walking 2013 : Day 4 : Emo Todorov : Dynamic optimization of behavior
June 13, 2013 Dynamic Optimization of Behavior Emo Todorov, University of Washington The control of rich dynamic behaviors involving underactuation and ...
cmurobotics
JuliaRobotics: Making robots walk with Julia | Robin Deits
Do you want to build Baymax, Data, or Robby the Robot? Do you want a future with more robots for rescue, delivery, and exploration (and fewer C++ linker ...
The Julia Programming Language
Optimal Control and Parameter Identification of Dynamcal Systems with Direct Collocation using SymPy
Enthought
Python for economists and other social scientists! | SciPy 2014 | David Pugh
Enthought
Machine Learning Work Shop - Bayesian Nonparametrics for Complex Dynamical Phenomena
Machine Learning Work Shop-Session 3 - Emily Fox - 'Bayesian Nonparametrics for Complex Dynamical Phenomena' Markov switching processes, such as ...
Microsoft Research
Real-Time Convex Optimization
Stephen Boyd, Stanford University Real-Time Decision Making https://simons.berkeley.edu/talks/stephen-boyd-2016-06-27.
Simons Institute
Lecture 16 | Convex Optimization II (Stanford)
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd introduces a new ...
Stanford
On Gradient-Based Optimization: Accelerated, Stochastic and Nonconvex
Many new theoretical challenges have arisen in the area of gradient-based optimization for large-scale statistical data analysis, driven by the needs of ...
Microsoft Research
JuMP-dev 2018 | Optimal energy management and stochastic decomposition | Francois Pacaud
We consider a microgrid management problem where multiple units are interacting together via a network. Each unit is represented as a (small) controlled ...
The Julia Programming Language
Lightning Talks - Chi Jin, Lin Yang, Alec Koppel, Karan Singh, Nataly Brukhim
Workshop on New Directions in Reinforcement Learning and Control Topic:Lightning Talks Speaker: Chi Jin, Lin Yang, Alec Koppel, Karan Singh, Nataly ...
Institute for Advanced Study
Michael Betancourt: Scalable Bayesian Inference with Hamiltonian Monte Carlo
Recording of Michael Betancourt's talk at the London Machine Learning Meetup: ...
London Machine Learning Meetup
Nonlinear Dynamics: Fall 2015 Teaser
These are videos from the Nonlinear Dynamics course offered on Complexity Explorer (complexity explorer.org) taught by Prof. Liz Bradley. These videos ...
Complexity Explorer
AMLD2018 - Soumith Chintala, Facebook: Dynamic Deep Learning: a paradigm shift in AI research
The Applied Machine Learning Days channel features talks and performances from the Applied Machine Learning Days. AMLD is one of the largest machine ...
Applied Machine Learning Days
An optimization perspective on mean-field games - Wei Zhang, Ohio State University
This workshop is kindly sponsored by London Mathematical Society, EPSRC and is part of the Lloyd's Register Foundation programme on Data-centric ...
The Alan Turing Institute
Introduction to Trajectory Optimization
This video is an introduction to trajectory optimization, with a special focus on direct collocation methods. The slides are from a presentation that I gave at Cornell ...
Matthew Kelly
Python I webinar: Introduction to Modeling with Python
Python is a powerful and well-supported programming language that's also a good choice for mathematical modeling. It has special features that make it easy to ...
Gurobi Optimization
Equation Oriented Dynamic Modeling
Equation Oriented Dynamic Modeling: A Perspective on Progress and Challenges Equation Oriented (EO) modeling (also known as “equation based” or “open ...
APMonitor.com
Nonlinear Dynamics: Saddle Points and Eigenvectors Quiz Solutions
These are videos from the Nonlinear Dynamics course offered on Complexity Explorer (complexity explorer.org) taught by Prof. Liz Bradley. These videos ...
Complexity Explorer
Nonlinear Dynamics: Caveats and Extensions
These are videos from the Nonlinear Dynamics course offered on Complexity Explorer (complexity explorer.org) taught by Prof. Liz Bradley. These videos ...
Complexity Explorer
UTRC CDS Invited Lecture: Javad Lavaei "Graph-Theoretic Convexification of Polynomial Optimization"
UTRC CDS Invited Lecture: Javad Lavaei "Graph-Theoretic Convexification of Polynomial Optimization" Friday, November 18, 2016 10:00 a.m. 2168 A V ...
ISR UMD
Lecture 1 | MIT 6.832 (Underactuated Robotics), Spring 2019
For more about the course see the website: http://underactuated.csail.mit.edu/Spring2019.
6.832 Underactuated Robotics
Limited Communication Gradient Methods for Distributed Resource Allocation Optimization
Na (Lina) Li, Harvard University https://simons.berkeley.edu/talks/lina-li-5-3-18 Mathematical and Computational Challenges in Real-Time Decision Making.
Simons Institute
Lecture 18 - Continous State MDP & Model Simulation | Stanford CS229: Machine Learning (Autumn 2018)
Take an adapted version of this course as part of the Stanford Artificial Intelligence Professional Program. Learn more at: https://stanford.io/3bhmLce Andrew Ng ...
stanfordonline
Extremum Seeking Control Applications
This lecture highlights some of the many applications of extremum-seeking control (ESC) performed by myself and collaborators. Maximum power point tracking ...
Steve Brunton
Amir Ali Ahmadi -- Time-Varying Semidefinite Programs
Amir Ali Ahmadi presents the talk "Time-Varying Semidefinite Programs" at the Workshop on Optimization in Distance Geometry held at DIMACS on June 26-28, ...
DIMACS CCICADA
