


TILOS Seminar: Foundational Methods for Foundation Models for Scientific Machine Learning
HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United StatesMichael W. Mahoney, ICSI, LBNL, and Department of Statistics, UC Berkeley Abstract: The remarkable successes of ChatGPT in natural language processing (NLP) and related developments in computer vision (CV) motivate the question of what foundation models would look like and what new advances they would enable, when built on the rich, diverse, multimodal data that […]

TILOS Seminar: Amplifying human performance in combinatorial competitive programming
VirtualPetar Veličković, Google DeepMind Abstract: Recent years have seen a significant surge in complex AI systems for competitive programming, capable of performing at admirable levels against human competitors. While steady progress has been made, the highest percentiles still remain out of reach for these methods on standard competition platforms such as Codeforces. In this talk, […]

HOT-AI: Horizons for Optimization in AI Workshop
HDSI 123 3234 Matthews Ln, La Jolla, CA, United States
TILOS Seminar: Optimal Quantization for LLMs and Matrix Multiplication
HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United StatesYury Polyanskiy, MIT Abstract: The main building block of large language models is matrix multiplication, which is often bottlenecked by the speed of loading these matrices from memory. A number of recent quantization algorithms (SmoothQuant, GPTQ, QuIP, SpinQuant etc) address this issue by storing matrices in lower precision. We derive optimal asymptotic information-theoretic tradeoff between […]

TILOS Industry Day 2025
HDSI 123 3234 Matthews Ln, La Jolla, CA, United States
TILOS Seminar with Adam Klivans
HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United StatesTitle and abstract coming soon... Adam R. Klivans, Professor of Computer Science at the University of Texas at Austin and Director of the NSF AI Institute for Foundations of Machine Learning (IFML), is a leading researcher in theoretical computer science whose work has profoundly shaped the foundations of modern machine learning. His research explores the […]

Workshop on Topology, Algebra, and Geometry in Data Science (co-located with NeurIPS 2025)
UC San Diego La Jolla, CA, United StatesWe are thrilled to announce the first official TAG-DS Stand-Alone Event--TAG... We're it! This will be a two day event, December 1 & 2, 2025, featuring keynotes, poster sessions, spotlight talks, collaboration activities, and community development. The dates and location were selected to align with NeurIPS 2025--twice the fun! The event will be hosted on […]

NeurIPS 2025 Workshop on Differentiable Learning of Combinatorial Algorithms
San Diego Convention Center San Diego, CA, United StatesCombinatorial algorithms are fundamental across a wide range of domains, owing to their ability to model optimization and decision-making tasks under complex constraints. These algorithms underpin practical applications such as vehicle routing, network and chip design, clustering and information retrieval. Combinatorial problems are also prominent in various areas of machine learning such as natural language […]

NeurIPS 2025 Workshop on Optimization for Machine Learning
San Diego Convention Center San Diego, CA, United StatesOptimization lies at the heart of many machine learning algorithms and enjoys great interest in our community. Indeed, this intimate relation of optimization with ML is the key motivation for the OPT series of workshops. We aim to foster discussion, discovery, and dissemination of state-of-the-art research in optimization relevant to ML. The focus of OPT […]