MIP 2024 Logo

Mixed Integer Programming Workshop 2024

June 2, 2024 (summer school)

June 3-6, 2024 (regular workshop)

University of Kentucky

The 2024 MIP Workshop will include a poster session.

We invite poster abstracts to be submitted using this form. Poster abstracts from all levels are welcome, e.g., students, post docs, or faculty. However, due to space constraints, preference will be given to students. The abstract format is a PDF file of at most two pages (letter format, 1 inch margin, font size 12p, including references, tables, etc.). As in past years, the poster session will have a best poster competition, which is only open to student poster presenters. The program committee will select finalists for the best poster competition, and as in past years finalists will also be eligible for travel support funds (estimated at $500-$750 per selected finalist). Poster abstract submissions that are not selected as competition finalists may still present their poster (space permitting), but only finalists are eligible for the competition and for travel support.

The deadline for poster submissions is March 4, 2024 (11:59pm ET, check your local time), and the committee will communicate decisions by March 15, 2024.

Posters Awards

The committee for the poster awards consisted of Daphne Skipper (US Naval Academy), Ted Ralphs (Lehigh University), Manish Bansal (Virginia Tech), Jim Ostrowski (University of Tennessee), and Carla Machini (University of Wisconsin-Madison).

Dahye Han won the best poster award for her poster "Aggregation of Bilinear Bipartite Equality Constraints and Application to FEM Update Problem". The award has been received by a representative for Dahye on Dahye's behalf.

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Noah Weninger received an honorable mention for his poster "Interdiction of Minimum Spanning Trees and Other Matroid Bases".

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bestposter

Siddharth Prasad received an honorable mention for his poster "New sequence-independent lifting techniques for cutting planes and when they induce facets". The award has been received by a representative for Siddharth on Siddharth's behalf.

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Noah Weninger received the award for the most popular poster for this poster "Interdiction of Minimum Spanning Trees and Other Matroid Bases".
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bestposter

Presented Posters

Anna Deza - Logic Rules for Sparse Learning

Anthony Karahalios - A New Perspective on Subset Row Inequalities via Column Elimination

Ashley Peper - Selecting and Scheduling Cybersecurity Mitigations with Resource Constraints

Berkay Becu - A Machine Learning Approach for Rank-1 GMI Cuts

Connor Johnston - Symmetrically Fair Allocations of Indivisible Goods

Dahye Han - Aggregation of Bilinear Bipartite Equality Constraints and Application to FEM Update Problem

Erik Tamm - Warm Starting for Sequences of MINLPs

Hyunwoo Lee - Cooperative Integer Programming Games

Jack Zhang - Partitioning a graph into low-diameter clusters

Jingye Xu - Decentralized converging algorithm for binary optimization: Face-reweighted Lagrangian method

Jisun Lee - Strong Formulation of Hybrid Control Problem with Tridiagonal Inverse Matrix

Kausthubh Konuru - To Cut Or Not To Cut

Matheus Jun Ota - Benders cuts via corner polyhedra: an application to the stochastic vehicle routing problem

Matias Villagra - Accurate Linear Cutting-Plane Relaxations for ACOPF

Nan Jiang - The Terminator: An Integration of Inner and Outer Approximations for Solving Wasserstein Distributionally Robust Chance Constrained Programs via Variable Fixing

Noah Weninger - Interdiction of Minimum Spanning Trees and Other Matroid Bases

Prachi Shah - Improving Strong-Branching Decisions With Additional Information

Qing Ye - Distributionally Fair Stochastic Optimization using Wasserstein Distance

Rolf van der Hulst - Detecting Implied Integers using Totally Unimodular Submatrices

Rui Gong - Rounding the Lovasz Theta Function with a Value Function Approximation

Seonghun Park - Distributionally Risk-Averse and Risk-Receptive k-Submodular Interdiction Problems

Shannon Kelley - Warm Starting of Mixed Integer Linear Optimization Problems via Parametric Disjunctive Cuts

Siddharth Prasad - New Sequence-Independent Lifting Techniques for Cutting Planes and When They Induce Facets

Somayeh Shamsi - Probabilistic Lookahead Strong Branching via a Stochastic Abstract Branching Model

Sourabh Kumar Choudhary - The Treewidth-Convex Hull Theorem and DP for Cut Generation in MINLP

Sumin Kang - Bi-Parameterized Two-Stage Stochastic Integer Programs

Woojin Kim - Layerwise Derived Valid Inequalities for the Binarized Neural Network Verification Problem

Yihua Xu - Stochastic Scheduling: Strategies for Abandonment Management

Yongchun Li - On Sparse Canonical Correlation Analysis

Yongzheng Dai - Parallelized Conflict Graph Cut Generation

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