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Discrete Optimization via Continuous Relaxation
Program
Bridging Continuous and Discrete Optimization
Location
Calvin Lab auditorium
Date
Monday, Sept. 11
–
Friday, Sept. 15, 2017
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The Workshop
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All presentations take place at the Calvin Lab Auditorium.
Monday, Sept. 11, 2017
9
–
9:20 a.m.
Coffee and Check-In
9:20
–
9:30 a.m.
Opening Remarks
9:30
–
10:30 a.m.
The Power of Hierarchies for Detecting Hidden Structures
Prasad Raghavendra, UC Berkeley
10:30
–
11 a.m.
Break
11
–
11:30 a.m.
Simplex Transformations and Multiway Cut
Roy Schwartz, Technion - Israel Institute of Technology
11:30 a.m.
–
12 p.m.
LPs and Convex Programming Relaxations and Rounding for Stochastic Problems
Anupam Gupta, Carnegie Mellon University
12
–
2 p.m.
Lunch
2
–
3 p.m.
Discrepancy and Approximation Algorithms
Sasho Nikolov, University of Toronto
3
–
3:30 p.m.
Break
3:30
–
4 p.m.
On Approximating the Covering Radius and Finding Dense Lattice Subspaces
Daniel Dadush, Centrum Wiskunde & Informatica
4
–
4:30 p.m.
A Strongly Polynomial Algorithm for Bimodular Integer Linear Programming
Rico Zenklusen, ETH Zürich
4:30
–
5:30 p.m.
Reception
Tuesday, Sept. 12, 2017
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
10:30 a.m.
Improved Approximation Algorithms for the TSP and S-t-path TSP
David Shmoys
,
, Cornell University
10:30
–
11 a.m.
Break
11 a.m.
–
12 p.m.
A Constant-factor Approximation Algorithm for the Asymmetric Traveling Salesman Problem
László Végh, London School of Economics
12
–
2 p.m.
Lunch
2
–
2:30 p.m.
Compact, Provably-good LPs for Orienteering and Regret-bounded Vehicle Routing
Chaitanya Swamy, University of Waterloo
2:30
–
3 p.m.
Surviving in Directed Graphs: A Quasi-polynomial-time Polylogarithmic Approximation for Two-connected Directed Steiner Tree
Fabrizio Grandoni, IDSIA, University of Lugano
3
–
3:30 p.m.
Break
3:30
–
4 p.m.
Improved Approximation for Non-preemptive Scheduling via Time-indexed LP Relaxations
Shi Li, SUNY Buffalo
4
–
4:30 p.m.
LP Rounding for Poise
R. Ravi, Carnegie Mellon University
4:30
–
5:30 p.m.
Lightning Talks
Wednesday, Sept. 13, 2017
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
10:30 a.m.
Submodular Optimization
Niv Buchbinder, Tel Aviv University
10:30
–
11 a.m.
Break
11
–
11:30 a.m.
Submodular Unsplittable Flow on Trees
Anna Adamaszek, University of Copenhagen
11:30 a.m.
–
12 p.m.
A Nearly-linear Time Algorithm for Submodular Maximization with a Knapsack Constraint
Alina Ene, Boston University
12
–
2 p.m.
Lunch
2
–
3 p.m.
Online Optimization, Smoothing, and Competitive Ratio
Maryam Fazel, University of Washington
3
–
3:30 p.m.
Break
3:30
–
4 p.m.
The Non-Uniform k-Center Problem
Deeparnab Chakrabarty (Dartmouth College)
4
–
4:30 p.m.
Scheduling on Related Machines
Debmalya Panigrahi, Duke University
Thursday, Sept. 14, 2017
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
10:30 a.m.
Beyond Worst Case Analysis in Approximation
Uri Feige, Weizmann Institute of Science
10:30
–
11 a.m.
Break
11
–
11:30 a.m.
Algorithms for Stable and Perturbation-resilient Problems
Kostya Makarychev, Northwestern University
11:30 a.m.
–
12 p.m.
Low Diameter Graph Decompositions and Approximating Unique Games
Lap-Chi Lau, University of Waterloo
12
–
2 p.m.
Lunch
2
–
3 p.m.
A (1+epsilon)-approximation for Makespan Scheduling with Precedence Constraints Using LP Hierarchies
Thomas Rothvoß, University of Washington
3
–
3:30 p.m.
Break
3:30
–
4 p.m.
LP Relaxations for Reordering Buffer Management
Yuval Rabani, The Hebrew University of Jerusalem
4
–
4:30 p.m.
Finding Best LP Relaxations for Various Cut Problems
Euiwoong Lee, Carnegie Mellon University
Friday, Sept. 15, 2017
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
10:30 a.m.
A Survey of Dependent Rounding
Aravind Srinivasan,
,
University of Maryland
10:30
–
11 a.m.
Break
11
–
11:30 a.m.
Subdeterminant Maximization via Nonconvex Relaxations and Anti-concentration
Nisheeth Vishnoi, École Polytechnique Fédérale de Lausanne
11:30 a.m.
–
12 p.m.
Approximating the Permanent of Positive Semidefinite Matrices
Nima Anari
,
, Stanford University
12
–
12:30 p.m.
Local Guarantees in Graph Cuts and Clustering
Moses Charikar, Stanford University
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Apply to Participate
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