ICML 2024 Tutorials

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Tutorials

Data Attribution at Scale

Tutorial

Aleksander Madry · Andrew Ilyas · Logan Engstrom · Sung Min (Sam) Park

[ Hall A1 ]

Abstract

Strategic ML: How to Learn With Data That ‘Behaves’

Tutorial

[ Straus 1-3 ]

Abstract

Towards Efficient Generative Large Language Model Serving: A Tutorial from Algorithms to Systems

Tutorial

Xupeng Miao · Zhihao Jia

[ Lehar 1-4 ]

Abstract

Graph Learning: Principles, Challenges, and Open Directions

Tutorial

[ Hall A8 ]

Abstract

Foundations of Data-efficient Machine Learning

Tutorial

Siddharth Joshi

[ Hall A8 ]

Abstract

Understanding the Role of Large Language Models in Planning

Tutorial

Subbarao Kambhampati

[ Lehar 1-4 ]

Abstract

Distribution-Free Predictive Uncertainty Quantification: Strengths and Limits of Conformal Prediction

Tutorial

Margaux Zaffran

[ Straus 1-3 ]

Abstract

Mixture-of-Experts in the Era of LLMs: A New Odyssey

Tutorial

Minjia Zhang · Yu Cheng · Tianlong Chen

[ Hall A1 ]

Abstract

Convex Analysis at Infinity: An Introduction to Astral Space

Tutorial

Miroslav Dudik · Robert Schapire

[ Straus 1-3 ]

Abstract

Challenges in Language Model Evaluations

Tutorial

Lintang Sutawika · Hailey Schoelkopf

[ Lehar 1-4 ]

Abstract

Physics of Language Models

Tutorial

Zeyuan Allen-Zhu

Abstract

Neural Operator Learning

Tutorial

[ Hall A8 ]

Abstract