2017 NSF Algorithms in the Field PI Meeting
March 30 - 31, 2017
Arlington, VA
- Organizing Committee:
- Martin Farach-Colton, Rutgers University
- Sucheta Soundarajan, Syracuse University
Sponsored by the Algorithms in the Field
(AiTF) program of the National Science Foundation under grant numbers
CCF-1712716 and 1712703.
Slides:
- Amy Babay, Emily Wagner, Yasamin Nazari, Michael Dinitz, and Yair Amir, Johns Hopkins University
Wide-area Dissemination under Strict Timeliness, Reliability, and Cost Constraints
- Magdalena Balazinska and Dan Suciu, University of Washington
Query Processing with Optimal Communication Cost
- Maria-Florina Balcan, Avrim Blum, and Tom M Mitchell
From Worst-Case to Realistic-Case Analysis for Large Scale Machine Learning Algorithms
- Sarah Cannon, Georgia Institute of Technology, Joshua Daymude, Arizona State University,
Daniel Goldman, Georgia Institute of Technology, Shengkai Li, Georgia Institute of Technology,
Dana Randall, Georgia Institute of Technology, Andrea Richa, Arizona State University, and
Will Savoie, Georgia Institute of Technology
A Distributed and Stochastic Algorithmic Framework for Active Matter
- Loris D'Antoni, Aditya Akella, University of Wisconsin-Madison and Aaron
Gember-Jacobson, Colgate University
Foundations of Intent-based Networking
- Anupam Gupta, Carnegie Mellon University, Michael K. Reiter, UNC
Chapel Hill and
Vyas Sekar, Carnegie Mellon University
Practical Foundations for Software-Defined Network Optimization
- Bruce Maggs, Debmalya Panigrahi, Duke University,
Rajmohan Rajaraman, Northeastern University and Ravi Sundaram, Northeastern University
Optimizing Networked Systems with Limited Information
- Muthu Muthukrishnan, Rutgers University and Jennifer Rexford, Princeton University
8F: Compact Data Structures for SDNs
- John Owens, UC Davis and Martin Farach-Colton, Rutgers University
Theory and Implementation of
Dynamic Data Structures for the GPU
- Richard Peng, Georgia Tech
High Performance Linear System Solvers with Focus on Graph Laplacians
- Kirk Pruhs and Youtao Zhang, University of Pittsburgh
AitF: EXPL: Data Management in Domain Wall
Memory-based Scratchpad for High Performance
Mobile Devices
- Kate Saenko, Boston University, Trevor Darrell, UC Berkeley, Eric
Tzeng, UC Berkeley and Judy Hoffman, UC Berkeley
PEARL: Perceptual Adaptive Representation Learning in the
WildAdversarial Domain Adaptation
- Sucheta Soundarajan and Yanzhi Wang, University of Syracuse
Fast and Accurate Memristor-Based Algorithms for Social Network
Analysis
- Tandy Warnow and Pranjal Vachaspati, University of Illinois at Urbana-Champaign
Graph-theoretic Algorithms to
Improve Phylogenomic Analyses
Workshop Index
DIMACS Homepage
Contacting the Center
Document last modified on May 4, 2017.