Game theory | Mechanism design
Distributed algorithmic mechanism design (DAMD) is an extension of algorithmic mechanism design. DAMD differs from Algorithmic mechanism design since the algorithm is computed in a distributed manner rather than by a central authority. This greatly improves computation time since the burden is shared by all agents within a network. One major obstacle in DAMD is ensuring that agents reveal the true costs or preferences related to a given scenario. Often these agents would rather lie in order to improve their own utility.DAMD is full of new challenges since one can no longer assume an obedient networking and mechanism infrastructure where rational players control the message paths and mechanism computation. (Wikipedia).
Centrality - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
Chain Network Solution - Intro to Algorithms
This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
From playlist Introduction to Algorithms
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. IIR filter design examples using MATLAB.
From playlist Infinite Impulse Response Filter Design
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Overview of IIR filter design using analog prototype filters following the approach used by MATLAB: use of continuous-time frequency transformations
From playlist Infinite Impulse Response Filter Design
A System for Analog Filter Design, Realization, and Verification Using Mathematica and SystemModeler
Analog filters are an essential part of modern electronics; however, their design, realization and verification can be arduous and time consuming. This paper describes a Mathematica and SystemModeler platform for automated, fast analog filter design and simulation. The platform consists of
From playlist Wolfram Technology Conference 2013
MapReduceDesign Patterns Tutorial - 2 | MapReduce design Patrerns Tutorial for Beginners - 2
Watch Sample Class recording: http://www.edureka.co/mapreduce-design-patterns?utm_source=youtube&utm_medium=referral&utm_campaign=mapreduce-tut-2 MapReduce Design Pattern is a template for solving a common and general data manipulation problem with MapReduce. A pattern is not specific to
From playlist MapReduce Design Patterns Tutorial Videos
Random Oracle Solution - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
System Identification: Full-State Models with Control
This lecture provides an overview of modern data-driven regression methods for linear and nonlinear system identification, based on the dynamic mode decomposition (DMD), Koopman theory, and the sparse identification of nonlinear dynamics (SINDy). https://www.eigensteve.com/
From playlist Data-Driven Control with Machine Learning
Monte Carlo methods and Optimization: Intertwinings (Lecture 1) by Gersende Fort
PROGRAM : ADVANCES IN APPLIED PROBABILITY ORGANIZERS : Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah and Piyush Srivastava DATE & TIME : 05 August 2019 to 17 August 2019 VENUE : Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in r
From playlist Advances in Applied Probability 2019
Differentially Private Algorithms: Some Primitives and Paradigms - Kunal Talwar
Differential Privacy Symposium: Four Facets of Differential Privacy Saturday, November 12, 2016 https://www.ias.edu/differential-privacy More videos on http://video.ias.edu
From playlist Differential Privacy Symposium - November 12, 2016
Algorithmic Game Theory by Siddharth Barman
Program Summer Research Program on Dynamics of Complex Systems ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE : 15 May 2019 to 12 July 2019 VENUE : Madhava hall for Summer School & Ramanujan hall f
From playlist Summer Research Program On Dynamics Of Complex Systems 2019
Intractability in Algorithmic Game Theory - Tim Roughgarden
Tim Roughgarden Stanford University March 11, 2013 We discuss three areas of algorithmic game theory that have grappled with intractability. The first is the complexity of computing game-theoretic equilibria, like Nash equilibria. There is an urgent need for new ideas on this topic, to ena
From playlist Mathematics
Consistent Hashing | Algorithms You Should Know #1
Weekly system design newsletter: https://bit.ly/3tfAlYD Checkout our bestselling System Design Interview books: Volume 1: https://amzn.to/3Ou7gkd Volume 2: https://amzn.to/3HqGozy Other things we made: Digital version of System Design Interview books: https://bit.ly/3mlDSk9 Twitter: htt
From playlist Algorithms You Should Know For System Design
Overview on Modern Cryptography
Cryptography and Network Security by Prof. D. Mukhopadhyay, Department of Computer Science and Engineering, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
From playlist Computer - Cryptography and Network Security
Monte Carlo methods and Optimization: Intertwinings (Lecture 3) by Gersende
PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear
From playlist Advances in Applied Probability 2019
Workshop on Federated Learning & Analytics: Pre-recorded Talks Day 1 Track 2 Q&A Privacy/Security
A Google TechTalk, 2020/7/29, presented by all Day Track 2 speakers ABSTRACT: Google Workshop on Federated Learning and Analytics: Pre-recorded Talks Day 1 Track 2 Question and Answer session on Privacy/Security
From playlist 2020 Google Workshop on Federated Learning and Analytics
Differentially Private Multi-party Data Release for Linear Regression
A Google TechTalk, presented by Ruihan Wu, 2022/08/31 Differential Privacy for ML Series.
From playlist Differential Privacy for ML
Operating System Full Course | Operating System Tutorials for Beginners
An operating system is system software that manages computer hardware and software resources and provides common services for computer programs. In this operating system full course you will be learning following topic in details. Hardware Resources Introduction
From playlist Operating System
Accelerating MCMC for Computationally Intensive Models by Natesh Pillai
Program Advances in Applied Probability II (ONLINE) ORGANIZERS: Vivek S Borkar (IIT Bombay, India), Sandeep Juneja (TIFR Mumbai, India), Kavita Ramanan (Brown University, Rhode Island), Devavrat Shah (MIT, US) and Piyush Srivastava (TIFR Mumbai, India) DATE: 04 January 2021 to 08 Januar
From playlist Advances in Applied Probability II (Online)
(ML 14.6) Forward-Backward algorithm for HMMs
The Forward-Backward algorithm for a hidden Markov model (HMM). How the Forward algorithm and Backward algorithm work together. Discussion of applications (inference, parameter estimation, sampling from the posterior, etc.).
From playlist Machine Learning