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Tuesday July 22, 2025 1:15pm - 2:30pm PDT
Session: Advances in Mixed-Integer Optimization
Chair: Alberto Del Pia
Cluster: Interplay Between Continuous and Discrete Optimization

Talk 1: Convexification Techniques For Logical Implication Constraints Involving Cardinality Requirements
Speaker: Jean-Philippe Richard
Abstract: Cardinality requirements and implications between groups of distinct variables are pervasive in applications and are often modeled through the use of integer programming techniques. We describe a general constructive scheme that allows for the convex hull of sets involving logical implication constraints relating the cardinality of groups of variables to be derived in a higher dimensional space. We also discuss aspects of projecting the formulations. We provide simple illustrative applications of the scheme, which subsume existing results in the literature.

Talk 2: Transfer Theorems in Mixed-Integer Convex Optimization
Speaker: Phillip Kerger
Abstract: In this talk, we will present two lines of work that explore the transferability of results between different settings in optimization. First, we will show how performance guarantees from noise-free convex optimization can be adapted to the stochastic setting, even when mixed-integer variables are present. This is achieved through a black-box transfer approach that applies broadly to first-order methods. Second, we will discuss how complexity results from continuous convex optimization can be extended to the mixed-integer setting, which leads to new lower bounds under various oracles, such as those with partial first-order information. Such black-box approaches are especially appealing to have results in easier-to-analyze cases immediately transfer to more complex ones. Finally, some remaining open questions will be discussed.

Talk 3: Extended formulations for some class of Delta-modular IPs
Speaker: Luze Xu
Abstract: Conforti et al. give a compact extended formulation for a class of bimodular-constrained integer programs, namely those that model the stable set polytope of a graph with no disjoint odd cycles. We extend their techniques to design compact extended formulations for the integer hull of translated polyhedral cones whose constraint matrix is strictly $\Delta$-modular and has rows that represent a cographic matroid. Our work generalizes the important special case from Conforti et al. concerning 4-connected graphs with odd cycle transversal number at least 4. We also discuss the necessity of our assumptions. This is joint work with Joseph Paat and Zach Walsh.

Speakers
JR

Jean-Philippe Richard

Name: Dr. Slothington "Slow Convergence" McNapface Title: Distinguished Professor of Continuous Optimization & Energy Minimization Affiliation: The Lush Canopy Institute of Sluggish Algorithms Bio: Dr. Slothington McNapface is a leading expert in continuous optimization, specializing... Read More →
PK

Phillip Kerger

Name: Dr. Slothington "Slow Convergence" McNapface Title: Distinguished Professor of Continuous Optimization & Energy Minimization Affiliation: The Lush Canopy Institute of Sluggish Algorithms Bio: Dr. Slothington McNapface is a leading expert in continuous optimization, specializing... Read More →
LX

Luze Xu

Name: Dr. Slothington "Slow Convergence" McNapface Title: Distinguished Professor of Continuous Optimization & Energy Minimization Affiliation: The Lush Canopy Institute of Sluggish Algorithms Bio: Dr. Slothington McNapface is a leading expert in continuous optimization, specializing... Read More →
Tuesday July 22, 2025 1:15pm - 2:30pm PDT
Taper Hall (THH) 212 3501 Trousdale Pkwy, 212, Los Angeles, CA 90089

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