Konferenzen  >  Mathematik  >  Optimierungsrechnung, Entscheidungsunterstützung

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Geometrie und Topologie,    Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen

University of Liverpool

This two day Colloquium aims to bring together researchers in discrete mathematics, from areas such as structural and algorithmic graph theory, extremal combinatorics, logic and foundations of Computer Science. There is a four-hour tutorial on Constraint Satisfaction Problems given by Andrei Krokhin (Durham), nine invited talks, and a session with contributed one slide pitches by junior researchers.

Constraint Satisfaction Problems, Extremal Combinatorics, Structural Graph Theory, Algorithmic Meta Theorems.

Graphentheorie und Kombinatorik,    Mathematische Logik, Grundlagen der Mathematik

This PhD School is part of the broader CWI Research Semester Programme on Learning Enhanced Optimization, contributing to its overarching mission of advancing cutting-edge research in theoretical computer science, operations research and beyond.

Kurse und Veranstaltungen für Studenten der Mathematik,    Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen

Open Data Science Conference

ODSC West will feature 250+ speakers, instructors, and practitioners, 2,500 of your fellow data and AI practitioners, and hands-on instruction for world-class experts in: AI Agents, GenAI, LLMs, AI Engineering, Machine Learning, Deep Learning, AgentOps, LLMOps, MLOps, Ai for Robotics, Data Engineering, RAG, Reasoning, AI Safety & Security & more. You’ll also be able to build meaningful connections with speakers and peers in a relaxed setting during our networking events like the ODSC Networking Reception, Dinner with Data Scientists, Meet the Speaker session, Book Signing sessions, and more.

Tel.: [none];     Email: iryna@odsc.com

ODSCWest, AI, Data Science, LLMs, Machine Learning

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Numerische Analysis

The Latin American Algorithms, Graphs, and Optimization Symposium (LAGOS) is a biennial event that brings together researchers and practitioners from around the world. Since 2001, LAGOS has served as a key forum for the exchange of ideas and collaboration. It is the merger of two Latin American conferences: the Brazilian Symposium on Graphs, Algorithms, and Combinatorics (GRACO) and the Latin American Conference on Combinatorics, Graphs, and Applications (LACGA).

Algorithmen und Datenstrukturen,    Graphentheorie und Kombinatorik

MIP South America is supported by the Mixed Integer Programming Society (MIPS), a section of the Mathematical Optimization Society (MOS).

The Mixed Integer Programming (MIP) Workshop is a single-track workshop highlighting the latest trends in integer programming and discrete optimization, with speakers chosen by invitation. It brings together researchers, students, and industry actors from around the globe, fostering collaboration and providing a showcase for students, early career academics, and developments in industry and novel applications. In this edition, we are putting a special focus on bringing a considerable number of speakers based in different countries of South America.

Algorithmen und Datenstrukturen,    Kurse und Veranstaltungen für Studenten der Mathematik

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

In addition to exploring new methodologies, the workshop will address key challenges such as the explainability and interpretability of decisions, data privacy, and the practical deployment of models using contextual information. While these challenges are well-recognized in the ML community, particularly with the rise of large language models, they remain underexplored in the Operations Research community. By fostering collaboration and knowledge exchange, the workshop aims to develop scalable models, promote better benchmarking practices, and expand the applicability of contextual optimization to a wider range of real-world problems.

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

Cost-effective monitoring of large transportation networks, combined with the collection of accurate and relevant data on transport, vehicle movements, and individual mobility through various technologies, is crucial for enhancing transportation service efficiency. As we have seen in the past decade, recent technological advancements have produced an enormous volume of data, which is invaluable for understanding, planning, and managing transport networks in large cities, while also addressing the limitations imposed by road network growth. The challenge of managing, analyzing, and interpreting the information collected is considerable. The objective of this workshop is to bring together statisticians and engineers, with the specific goal to share recent advances, identify pressing problems, spark productive collaborations, and ultimately advance the state of the art by developing methods for the statistical modeling of data in the field of transportation. We will foster these interactions through four theme-focused daily workshops on the following topics: network modeling, travel behavior and choice modeling, traffic flow modeling and accident and safety analysis.

Angewandte Mathematik (allgem.),    Transport und Logistik