
November 2020
LIDS Seminar – Magnus Egerstedt (Georgia Institute of Technology)
Magnus Egerstedt (Georgia Institute of Technology)
Online
TBD Bio: ____________________________________ The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing.
Find out more »LIDS Seminar – Andreas Krause (ETH Zürich)
Andreas Krause (ETH Zürich)
Online
TBD Bio: ____________________________________ The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing.
Find out more »LIDS Seminar – Kamalika Chaudhuri (University of California San Diego)
Kamalika Chaudhuri (University of California San Diego)
Online
TBD Bio: ____________________________________ The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing.
Find out more »LIDS Seminar – Mary Wootters (Stanford)
Mary Wootters (Stanford)
Online
TBD Bio: ******************************************** The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing.
Find out more »October 2020
Hadamard Differential Calculus and Applications
Michel Delfour (Université de Montréal)
Online
ABSTRACT The Hadamard differential was introduced in 1923 by Hadamard and promoted in 1937 by Fréchet who extended it to vector spaces of functions. Infinite dimension is equivalent to the Fréchet differential introduced in 1911, but in function spaces, Hadamard is more general than Fréchet, which is restricted to normed vector spaces. In 1978 Penot gave the appropriate definition of a semi-differential in the sense of Hadamard by using semi-paths with a semi-tangent. The Hadamard semidifferentiable functions are probably the…
Find out more »SOAP: New Breakthroughs in Scheduling Theory
Mor Harchol-Balter (Carnegie Mellon University)
Online
ABSTRACT Scheduling policies are at the heart of computer systems. The right scheduling policy can dramatically reduce response times, ensure fairness, provide class-based priority, etc., without requiring additional resources. While stochastic response time analysis of different scheduling policies has been the focus of thousands of theoretical papers, results are limited to analyzing a relatively small number of "simple" scheduling policies. In this talk, we introduce the SOAP class of scheduling policies: Schedule Ordered by Age-based Priority. The SOAP policies include…
Find out more »September 2020
Distributed Machine Learning over Networks
Francis Bach (INRIA)
Online
ABSTRACT The success of machine learning models is in part due to their capacity to train on large amounts of data. Distributed systems are the common way to process more data than one computer can store, but they can also be used to increase the pace at which models are trained by splitting the work among many computing nodes. In this talk, I will study the corresponding problem of minimizing a sum of functions which are respectively accessible by separate…
Find out more »November 2019
LIDS Seminar – Rayadurgam Srikant (University of Illinois at Urbana-Champaign)
Rayadurgam Srikant (University of Illinois at Urbana-Champaign)
32-155
TBD Bio: ____________________________________ The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing.
Find out more »LIDS Seminar – Sujay Sanghavi (University of Texas at Austin)
Sujay Sanghavi (University of Texas at Austin)
32-155
TBD Bio: ____________________________________ The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing.
Find out more »October 2019
The Age of Information in Networks: Moments, Distributions, and Sampling
Roy Yates (Rutgers University)
32-155
We examine a source providing status updates to monitors through a network with state defined by a continuous-time finite Markov chain. Using an age of information (AoI) metric, we characterize timeliness by the vector of ages tracked by the monitors. Based on a stochastic hybrid systems (SHS) approach, we derive first-order linear differential equations for the temporal evolution of both the age moments and a moment generating function (MGF) of the age vector components. We show that the existence of…
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