Machine Learndiscrete optimization

DO x ML Conference on Discrete Optimization and Machine Learning 2025

Name: DO x ML Conference on Discrete Optimization and Machine Learning 2025
Start: 2025-05-15T09:00:00+00:00
End: 2025-05-17T18:00:00+00:00
Location: Kyoto, Japan

15 - 17 May 202509:00 AM-06:00 PM (expected)Kyoto, JapanDelegates Attendees

Description

Seventh Conference focused on the intersection of Discrete Optimization and Machine Learning, showcasing advancements, research findings, and discussions among experts in these evolving fields.

Highlights

Covers the latest developments in discrete optimization and machine learning. Features presentations from leading researchers worldwide. Includes topics such as finite horizon optimization, low-rank ALM for mixed-binary QP, and complexity of ReLU neural networks. Organized by Antoine Deza, Kazuhisa Makino, Sebastian Pokutta, and Akiyoshi Shioura. Takes place at the Research Institute for Mathematical Sciences (RIMS), Kyoto University. Conference dinner on May 13 at Camphora, Kyoto University Campus Restaurant. Poster sessions and various technical talks are scheduled. Fosters research exchange and innovation in the fields of discrete optimization and machine learning. Hotel recommendations provided for early booking. Part of the 2025 RIMS Project on Advances in Theoretical Research on Mathematical Optimization.