ΑΙhub.org
Looking ahead to #ICML2022
The 39th International Conference on Machine Learning (ICML 2022) will take place next week in Baltimore. Below, we summarise the invited talks, tutorials, workshops, and affinity events.
Invited talks
The conference will feature four invited speakers:
- Weinan E, Towards a mathematical theory of machine learning
- Regina Barzilay, Solving the right problems: making ML models relevant to healthcare and the life sciences
- Guido Imbens, Title to be confirmed
- Aviv Regev, Design for inference in drug discovery and development
Tutorials
The tutorials will take place on Monday 18 July.
- Quantitative Reasoning About Data Privacy in Machine Learning
- Validity, Reliability, and Significance: A Tutorial on Statistical Methods for Reproducible Machine Learning
- Causality and Deep Learning: Synergies, Challenges and the Future
- Bridging Learning and Decision Making
- Climate Change and Machine Learning: Opportunities, Challenges, and Considerations
- Learning for Interactive Agents
- Welcome to the “Big Model” Era: Techniques and Systems to Train and Serve Bigger Models
- Sampling as First-Order Optimization over a space of probability measures
- Causal Fairness Analysis
Workshops
The workshops will take place on Friday 23 and Saturday 24 July.
- Decision Awareness in Reinforcement Learning
- The 1st Workshop on Healthcare AI and COVID-19
- Machine Learning for Audio Synthesis
- Adaptive Experimental Design and Active Learning in the Real World
- ICML 2022 Workshop on Computational Biology
- Topology, Algebra, and Geometry in Machine Learning (TAG-ML)
- DataPerf: Benchmarking Data for Data-Centric AI
- Workshop on Formal Verification of Machine Learning
- ICML workshop on Machine Learning for Cybersecurity (ICML-ML4Cyber)
- Spurious correlations, Invariance, and Stability (SCIS)
- Knowledge Retrieval and Language Models
- Beyond Bayes: Paths Towards Universal Reasoning Systems
- Machine Learning for Astrophysics
- 1st ICML 2022 Workshop on Safe Learning for Autonomous Driving (SL4AD)
- New Frontiers in Adversarial Machine Learning
- Workshop on Machine Learning in Computational Design
- Shift happens: Crowdsourcing metrics and test datasets beyond ImageNet
- Dynamic Neural Networks
- Theory and Practice of Differential Privacy
- Updatable Machine Learning
- AI for Science
- Responsible Decision Making in Dynamic Environments
- Hardware-aware efficient training (HAET)
- The First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward
- AI for Agent-Based Modelling (AI4ABM)
- Complex feedback in online learning
- Workshop on Human-Machine Collaboration and Teaming
- The ICML Expressive Vocalizations (ExVo) Workshop and Competition 2022
- Disinformation Countermeasures and Machine Learning (DisCoML)
- Principles of Distribution Shift (PODS)
- Continuous Time Perspectives in Machine Learning
- 2nd Workshop on Interpretable Machine Learning in Healthcare (IMLH)
- Workshop on Distribution-Free Uncertainty Quantification
Affinity workshops
There will be four affinity workshops this year.
- LatinX in AI (LXAI) Research at ICML 2022
- 3rd Women in Machine Learning Un-Workshop
- New in ML workshop
- Queer in AI workshop & Queer in AI
tags: ICML, ICML2022
Lucy Smith
is Senior Managing Editor for AIhub.
Lucy Smith
is Senior Managing Editor for AIhub.
AIhub is supported by:
Related posts :
The Machine Ethics podcast: the AI bubble with Tim El-Sheikh
The Machine Ethics Podcast
11 Dec 2025
Ben chats to Tim about AI use cases, whether GenAI is even safe, the AI bubble, replacing human workers, data oligarchies and more.
Australia’s vast savannas are changing, and AI is showing us how
Pursuit, University of Melbourne
10 Dec 2025
Improving decision-making for dynamic and rapidly changing environments.
Generations in Dialogue: Human-robot interactions and social robotics with Professor Marynel Vasquez
Catch the latest podcast in the new series from AAAI.
AI language models show bias against regional German dialects
Johannes Gutenberg Universität Mainz
08 Dec 2025
New study examines how artificial intelligence responds to dialect speech.
We asked teachers about their experiences with AI in the classroom — here’s what they said
The Conversation
05 Dec 2025
Researchers interviewed teachers from across Canada and asked them about their experiences with GenAI in the classroom.
Interview with Alice Xiang: Fair human-centric image dataset for ethical AI benchmarking
Lucy Smith
04 Dec 2025
Find out more about this publicly-available, globally-diverse, consent-based human image dataset.
The Machine Ethics podcast: Fostering morality with Dr Oliver Bridge
The Machine Ethics Podcast
03 Dec 2025
Talking machine ethics, superintelligence, virtue ethics, AI alignment, fostering morality in humans and AI, and more.
Interview with Frida Hartman: Studying bias in AI-based recruitment tools
Lucy Smith
02 Dec 2025
In the next in our series of interviews with ECAI2025 Doctoral Consortium participants, we caught up with Frida, a PhD student at the University of Helsinki.