ΑΙhub.org
 

What’s on the programme at #ICML2025?


by
07 July 2025



share this:
ICML logo

This year’s International Conference on Machine Learning (ICML) will take place in Vancouver, Canada from 13-19 July 2025. As well as five invited talks, the programme boasts oral and poster presentations, affinity events, tutorials, and workshops.

Invited speakers

The five invited speakers are as follows:

  • Jon Kleinberg
  • Pamela Samuelson
  • Frauke Kreuter
  • Anca Dragan
  • Andreas Krause

Affinity events

There are four affinity group workshops scheduled for this year:

Tutorials

The tutorials will take place on Monday 14 July. There are 12 to choose from this year.

  • Generative AI Meets Reinforcement Learning
  • Harnessing Low Dimensionality in Diffusion Models: From Theory to Practice
  • Calibration and Bias in Algorithms, Data, and Models: a tutorial on metrics and plots for measuring calibration, bias, fairness, reliability, and robustness
  • Modern Methods in Associative Memory
  • Alignment Methods for Large Language Models
  • DP-fy your DATA: How to (and why) synthesize Differentially Private Synthetic Data
  • Flowing Through Continuous-Time Generative Models: A Clear and Systematic Tour
  • Tutorial on Mechanistic Interpretability for Language Models
  • The Underlying Logic of Language Models
  • Jailbreaking LLMs and Agentic Systems: Attacks, Defenses, and Evaluations
  • Game-theoretic Statistics and Sequential Anytime-Valid Inference
  • Training Neural Networks at Any Scale

Workshops

The workshops will take place on Friday 18 and Saturday 19 July.

You can find out more about the conference here.



tags: , ,


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

AI and Theory of Mind: an interview with Nitay Alon

  16 Mar 2026
Find out more about how Theory of Mind plays out in deceptive environments, multi-agents systems, the interdisciplinary nature of this field, when to use Theory of Mind, and when not to, and more.
coffee corner

AIhub coffee corner: AI, kids, and the future – “generation AI”

  13 Mar 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

AI chatbots can effectively sway voters – in either direction

  12 Mar 2026
A short interaction with a chatbot can meaningfully shift a voter’s opinion about a presidential candidate or proposed policy.

Studying the properties of large language models: an interview with Maxime Meyer

  11 Mar 2026
What happens when you increase the prompt length in a LLM? In the latest interview in our AAAI Doctoral Consortium series, we sat down with Maxime, a PhD student in Singapore.

What the Moltbook experiment is teaching us about AI

An experimental social media platform where only AI bots can post reveals surprising lessons about artificial intelligence behaviour and safety.

The malleable mind: context accumulation drives LLM’s belief drift

  09 Mar 2026
LLMs change their "beliefs" over time, depending on the data they are given.

RWDS Big Questions: how do we balance innovation and regulation in the world of AI?

  06 Mar 2026
The panel explores the tensions, trade-offs and practical realities facing policymakers and data scientists alike.

Studying multiplicity: an interview with Prakhar Ganesh

  05 Mar 2026
What is multiplicity, and what implications does it have for fairness, privacy and interpretability in real-world systems?



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence