Contact Info
Combinatorics & Optimization
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
Phone: 519-888-4567, ext 33038
PDF files require Adobe Acrobat Reader.
Title: Aggregation-based cutting-planes for packing and covering integer programs
Speaker: | Merve Bodur |
Affiliation: | University of Toronto |
Room: | MC 5501 |
Abstract:
We study the strength of Chvatal-Gomory (CG) cuts and more generally aggregation cuts for packing and covering integer programs (IPs).
Title: Clustering under Ordered Norms
Speaker: | Sharat Ibrahimpur |
Affiliation: | University of Waterloo |
Room: | MC 5479 |
Abstract: In this talk we will see approximation algorithms for a broad class of objective functions called as ordered norms.
Title: Flag algebras and subgraph density problems
Speaker: | Kris Siy |
Affiliation: | University of Waterloo |
Room: | MC 5417 |
Abstract: Flag algebras are a tool introduced by Razborov in 2007 that has since been successfully used to approach or solve many problems in asymptotic extremal combinatorics.
Title: Convergence Rate of Block-Coordinate Maximization Burer-Monteiro Method for Solving Large SDP
Speaker: | Sina Rezazadeh |
Affiliation: | University of Waterloo |
Room: | MC 5479 |
Abstract: Burer and Monteiro in 2003 proposed a nonlinear algorithm for solving semidefinite programs.
Title: Implementing supersingular isogeny cryptography
Speaker: | David Jao |
Affiliation: | University of Waterloo |
Room: | MC 5501 |
Abstract:
Recent years have seen dramatic progress and improvements in the implementation of supersingular isogeny-based cryptosystems.
Title: The upper density of monochromatic infinite paths
Speaker: | Richard Lang |
Affiliation: | University of Waterloo |
Room: | MC 5417 |
Abstract: Given a complete graph $K_n$, whose edges are coloured in red and blue, what is the longest monochromatic path one can find?
Title: Tutorial on Convolutional Neural Networks
Speaker: | Haesol Im |
Affiliation: | University of Waterloo |
Room: | MC 5479 |
Abstract: We have seen stochastic gradient descent and automatic differentiation to help handle the big dimensionality of problems that often occur in machine learning.
Title: Solving DNN Relaxations of the Quadratic Assignment Problem with ADMM and Facial Reduction
Speaker: | Henry Wolkowicz |
Affiliation: | University of Waterloo |
Room: | MC 5501 |
Abstract:
The quadratic assignment problem, QAP, has many important applications ranging from the planning of building locations of a university, to the positioning of modules on a computer chip (VLSI design), to the design of keyboards.
Title: Stability Yields a PTAS for k-Median and k-Means Clustering
Speaker: | Adam Brown |
Affiliation: | University of Waterloo |
Room: | MC 5479 |
Abstract: Previously, we have seen a variety of approximation methods for k-median, and last week we saw
Title: A Short Proof of the Containers Theorem for Hypergraphs
Speaker: | Michelle Delcourt |
Affiliation: | University of Waterloo |
Room: | MC 6486 |
Abstract: A modern trend in extremal combinatorics is extending classical results from the dense setting (e.g. Szemerédi's theorem)
Title: Why Random Reshuffling Beats Stochastic Gradient Descent
Speaker: | Julian Romero |
Affiliation: | University of Waterloo |
Room: | MC 5479 |
Abstract: Over the first few lectures in the seminar we studied the Stochastic Gradient Descent (SGD) method
Title: Approximation Algorithms for Distributionally Robust Stochastic Optimization
Speaker: | Chaitanya Swamy |
Affiliation: | University of Waterloo |
Room: | MC 5501 |
Abstract:
Two-stage stochastic optimization is a widely-used framework for modeling uncertainty, where we have a probability distribution over possible realizations of the data, called scenarios, and decisions are taken in two stages: we make first-stage decisions knowing only the underlying distribution and before a scenario is realized, and may take additional second-stage recourse actions after a scenario is realized.
Title: Approximate Clustering without the Approximation
Speaker: | Thomas Baxter |
Affiliation: | University of Waterloo |
Room: | MC 5417 |
Abstract: Previously in this CombOpt Reading Group series, we have discussed improving approximation factors for particular distance-based objective functions in clustering problems.
Title: 2-universality of random graphs.
Speaker: | Gal Kronenberg |
Affiliation: | Tel Aviv University |
Room: | *MC 6486* |
Abstract: For a family of graphs F, a graph G is F-universal if G contains every graph in F as a (not necessarily induced) subgraph.
Title: Hamiltonian Descent Methods
Speaker: | Guojun Zhang |
Affiliation: | University of Waterloo |
Room: | MC 5479 |
Abstract: In this talk, I will present a paper on the Hamiltonian descent methods
Title: Razborov's flag algebras: Ten years on
Speaker: | Sergey Norin |
Affiliation: | McGill University |
Room: | MC 5501 |
Abstract:
Many of the classical results in extremal combinatorics were obtained by ingenious application of elementary techniques, such as induction and Cauchy-Schwarz inequality.
Title: Approximating k-Median via Pseudo-Approximation
Speaker: | Sharat Ibrahimpur |
Affiliation: | University of Waterloo |
Room: | MC 5479 |
Abstract: In the last two talks we saw two approaches for approximating k-median.
Combinatorics & Optimization
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
Phone: 519-888-4567, ext 33038
PDF files require Adobe Acrobat Reader.
The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within our Office of Indigenous Relations.