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

Lucy Smith , Managing Editor for AIhub.

Lucy Smith , Managing Editor for AIhub.