DIMACS Workshop on Discrete Metric Spaces and their Algorithmic Applications

August 20 - 23, 2003
Friend Center, Bowl 006, Princeton University, Princeton, NJ

Organizers:
Moses Charikar, Princeton University, moses@CS.Princeton.EDU
Piotr Indyk, MIT, indyk@theory.lcs.mit.edu
Nati Linial, Hebrew University, nati@cs.huji.ac.il
Jiri Matousek, Charles University, matousek@kam.mff.cuni.cz
Yuri Rabinovich, University of Haifa, yuri@cs.haifa.ac.il
Gideon Schechtman, Weizmann Institute, gideon@wisdom.weizmann.ac.il
Co-sponsored by the Institute for Advanced Study and Princeton University.

Presented under the auspices of the DIMACS Special Focus on Data Analysis and Mining


Workshop Program:

Wednesday, August 20, 2003

 8:30 -  9:00  Breakfast and registration

 9:00 -  9:30  Introduction
               Jiri Matousek, Charles University
 
 9:30 - 11:00  Tutorial: Embeddings and approximation algorithms for NP-hard problems
               Ramamoorthi Ravi, Carnegie Mellon University

11:00 - 11:15  Break

11:15 - 12:00  Approximating arbitrary metrics by tree metrics
               Kunal Talwar, University of California, Berkeley

12:00 -  1:30  Lunch

 1:30 -  2:15  (Nearly) Optimal Embeddings into Additive and Ultrametric Trees
               Martin Farach-Colton, Rutgers University

 2:15 -  3:00  Approximating minimum average distortion of non-contracting embeddings
               Kedar Dhamdhere, Carnegie Mellon University

 3:00 -  3:30  Break

 3:30 -  4:15  Approximation Algorithms for Embedding Metrics into Two-dimensional Space
               Mihai Badoiu, MIT

 4:15 -  5:00  Generic Global Rigidity
               Bob Connelly, Cornell University

 5:00 -  5:15  Break

 5:15 -  6:00  Approximating steiner k-cuts
               Chandra Chekuri, Bell Laboratories


Thursday, August 21, 2003 

 9:00 -  9:30  Breakfast and registration

 9:30 - 11:00  Tutorial: Lipschitz quotient maps between Banach spaces
               Lipschitz quotient (slides)
               Bill Johnson, University of Texas, A&M

11:00 - 11:15  Break

11:15 - 12:00  The analogies between the structure theory of finite metric spaces and 
               the local theory of Banach spaces- past, present and future
               Assaf Naor, Microsoft Research

12:00 -  1:00  Lunch

 1:00 -  1:45  Preduals of spaces of Lipschitz functions and
               applications to Lipschitz structure
               Nigel Kalton, University of Missouri

 1:45 -  2:30  Metric Spaces 1
               Metric Spaces 2
               Stephen Semmes, Rice University 

 2:30 -  3:00  Break

 3:00 -  3:45  A unified approach to Lipschitz extension
               James R. Lee, University of California, Berkeley

 3:45 -  4:30  On Sobolev spaces on finite graphs
               Mikhail Ostrovskii

 4:30 -  4:45  Break

 4:45 -  5:30  Graph classes defined by distance properties
               Victor Chepoi, Universite' de la Mediterrane'e, Marseille

 5:30 -  6:15  Embedding treewidth-2 graphs into l_1 revisited
               Yuri Rabinovich, University of Haifa
 
 6:30 -  7:30  Reception

Friday, August 22, 2003

 9:00 -  9:30  Breakfast and registration

 9:30 - 10:15  Impossibility of dimension reduction in l_1
               Bo Brinkman, Princeton University 

10:15 - 10:35  The impossibility of dimension reduction in L_1
               Assaf Naor, Microsoft Research

10:35 - 10:50  Break

10:50 - 11:35  The intrinsic dimensionality of graphs
               Robert Krauthgamer, IBM Almaden
 
11:35 - 12:20  Bounded geometries, fractals and low distortion embeddings
               Anupam Gupta, Carnegie Mellon University

12:20 -  2:00  Lunch

 2:00 -  2:45  On metric Ramsey-type Phenomena
               Manor Mendel, Hebrew University 

 2:45 -  3:30  Ramsey Theorem for Metric Spaces+
               Yair Bartal, Hebrew University

 4:00 -  4:45  Embedding box metrics in l_p
               Avner Magen, University of Toronto

 5:00 -  ...   Rump session (open problems and short communications)
               <= 5 minutes per speaker


Saturday, August 23, 2003
 
 9:00 -  9:30  Breakfast and registration

 9:30 - 11:00  Tutorial: Embeddings and computation over streaming data
               S. Muthu Muthukrishnan, Rutgers University

11:00 - 11:15  Break
        
11:15 - 12:00  Zeroing in on the L0 metric
               Graham Cormode, Rutgers University

12:00 -  1:30  Lunch

 1:30 -  1:55  Similarity estimation, rounding algorithms and metric embeddings
               Moses Charikar, Princeton University

 1:55 -  2:20  Experiments with Embedding Earth-Mover Distance into Normed Spaces
               Piotr Indyk, MIT

 2:20 -  2:45  Experiments with Random Projections for Machine Learning
               Dmitriy Fradkin, Rutgers University

 2:45 -  3:30  Exploiting embeddings of Biosequence Similarity Scores
               Jeremy Buhler, Washington University in St. Louis

 3:30 -  4:00  Break

 4:00 -  4:45  Lower bounds for L_infty approximations in data streams
               Ravi Kumar, IBM Almaden

 4:45 -  5:10  Tight Lower Bounds for the Distinct Elements Problem
               David Woodruff, MIT

 5:10 -  5:55  On the hardness of approximate proximity search for
               non-metric/non-geometric spaces
               Cenk Sahinalp, Case Western Reserve University

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Document last modified on August 11, 2003.