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 тра 202509:00 AM-06:00 PM (expected)Kyoto, JapanDelegates Учасників

Опис

The seventh conference focused on the interplay between discrete optimization and machine learning, showcasing advancements, research findings, and discussions among experts in these evolving fields.

Особливості

Covers the latest developments in discrete optimization and machine learning. Presentations from leading researchers worldwide. Includes topics such as optimization with a finite horizon, 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 planned. Promotes research exchange and innovation in the fields of discrete optimization and machine learning. Hotel recommendations will be provided for early bookings. Part of the 2025 RIMS project on advancements in theoretical research in mathematical optimization.