Search for tag: "parc"

Yin Tat Lee - Solving Linear Programs in the Current Matrix Multiplication Time

We show how to solve linear programs with accuracy epsilon in time n^{omega+o(1)} log(1/epsilon) where omega~2.3728639 is the current matrix multiplication constant. This hits a natural barrier of…

From  Kathryn Gentilello 3 Weeks ago 4 views 0  

Will Perkins - Abstract polymer models, the cluster expansion, and applications

I will give two lectures introducing abstract polymer models and the cluster expansion from statistical physics. I will describe some of the original applications of these tools in statistical…

From  Kathryn Gentilello 4 Weeks ago 1 views 0  

Ola Svensson - Lecture 2: Different approaches for asymmetric TSP

The traveling salesman problem is one of the most fundamental optimization problems. Given n cities and pairwise distances, it is the problem of finding a tour of minimum distance that visits each…

From  Kathryn Gentilello A month ago 6 views 0  

Ola Svensson - Lecture 3: A constant-factor approximation algorithm for asymmetric TSP

The traveling salesman problem is one of the most fundamental optimization problems. Given n cities and pairwise distances, it is the problem of finding a tour of minimum distance that visits each…

From  Kathryn Gentilello A month ago 10 views 0  

James Park - Shape Machine and Parametrics

11:15 - 11:30 AM - Shape Machine and Parametrics James Park, BSArch, MArch PhD Student and Research Assistant Shape Computation Lab Georgia Institute of Technology

From  Kathryn Gentilello A month ago 5 views 0  

Tzu-Chieh Kurt Hong - Shape Machine and Interpreters

11:00- 11:15AM - Shape Machine and Interpreters Tzu-Chieh Kurt Hong, BE, ME PhD Student and Research Assistant Shape Computation Lab Georgia Institute of Technology

From  Kathryn Gentilello A month ago 4 views 0  

Cvetelina Hill - Shape Machine and Shape Signature

10:45 - 11:00 AM - Shape Machine and Shape Signature Cvetelina Hill, MS Math PhD Student School of Mathematics Georgia Institute of Technology

From  Kathryn Gentilello A month ago 8 views 0  

Annabelle Singer - Decoding Memory in Health and Alzheimer’s Disease

In this talk I will discuss how neural activity goes awry in Alzheimer’s disease, driving specific frequencies of neural activity recruits the brain’s immune system, and new methods to…

From  Kathryn Gentilello 2 Months ago 4 views 0  

Kunal Talwar - Amplification Theorems for Differentially Private Machine Learning

A rigorous foundational approach to private data analysis has emerged in theoretical computer science in the last decade, with differential privacy and its close variants playing a central role. We…

From  Kathryn Gentilello 2 Months ago 13 views 0  

Lisa Marks, Grace Leslie, Tarek Rakha - Introducing New Voices in Design Research

The forums are an opportunity for us to share our design- and technology-focused research. This academic year we have several new faculty members producing compelling work. We have invited some of…

From  Kathryn Gentilello 2 Months ago 8 views 0  

Mikyoung Kim - Navigating the Art & Science of the Landscape

Mikyoung Kim shares the work of the Mikyoung Kim Design firm and their research and development of landscapes that focus on environmental and physiological health and well being in the public realm…

From  Kathryn Gentilello 3 Months ago 8 views 0  

Zena Howard - Culture in Architecture: An Expression of Values

This lecture is presented by the School of Architecture and the Georgia Tech National Organization of Minority Architects Students (NOMAS) Chapter. Zena Howard sees the built environment as an…

From  Kathryn Gentilello 3 Months ago 4 views 0  

Galyna Livshyts - A Tight Net with Respect to a Random Matrix Norm and Applications to Estimating Singular Values

In this talk we construct a net around the unit sphere with good properties. We show that with exponentially high probability, the value of |Ax| on the sphere can be approximated well using this net,…

From  Kathryn Gentilello 4 Months ago 6 views 0  

Tuo Zhao - Towards Understanding First Order Algorithms for Nonconvex Optimization in Machine Learning

Stochastic Gradient Descent-type (SGD) algorithms have been widely applied to many non-convex optimization problems in machine learning, e.g., training deep neural networks, variational Bayesian…

From  Kathryn Gentilello 4 Months ago 17 views 0  

Éva Tardos - Learning and Efficiency of Outcomes in Games

Selfish behavior can often lead to suboptimal outcome for all participants, a phenomenon illustrated by many classical examples in game theory. Over the last decade we have studied Nash equilibria…

From  Kathryn Gentilello 4 Months ago 20 views 0  

Ethics & Values for Reflective Urban Automation

Urban automation’s potential to create disruptive technologies that change cities’ future development is already in evidence, but there is much more to come.Urban automation refers to…

From  Kathryn Gentilello 4 Months ago 10 views 0