What Exciting Events Are Ahead at #ICML2023?
Introduction:
The International Conference on Machine Learning (ICML) is one of the most highly anticipated events in the field. This year, ICML will be held in Honolulu, Hawai’i from 23-29 July. With an impressive lineup of invited talks, including speakers such as Marzyeh Ghassemi and Jennifer Doudna, attendees can expect a wealth of knowledge and insights. In addition to the talks, ICML will feature affinity events, tutorials, and workshops, covering a wide range of topics from reinforcement learning to responsible AI. Whether you’re a seasoned professional or just starting out in the field, ICML 2023 promises to be an event you won’t want to miss.
Full Article: What Exciting Events Are Ahead at #ICML2023?
International Conference on Machine Learning (ICML) 2023 to be held in Honolulu, Hawai’i
The International Conference on Machine Learning (ICML) is an annual event that brings together researchers, experts, and enthusiasts from the field of machine learning. The conference aims to promote the exchange of ideas, research findings, and advancements in the field. ICML 2023 is scheduled to take place in Honolulu, Hawai’i from July 23 to 29.
Invited Talks by Prominent Speakers
ICML 2023 has an exciting lineup of invited talks by renowned experts in various domains. Here are the four invited talks:
1. Marzyeh Ghassemi – Taking the Pulse Of Ethical ML in Health
2. Shakir Mohamed – Machine Learning with Social Purpose
3. Jennifer Doudna – The Future of ML in Biology: CRISPR for Health and Climate
4. John Schulman – Title to be confirmed
Affinity Events at ICML 2023
ICML 2023 offers three affinity group workshops that provide a platform for like-minded individuals to come together and discuss their common interests. These workshops enable participants to gain insights, share knowledge, and collaborate.
Tutorials for Different Learning Opportunities
To enhance knowledge and provide learning opportunities, ICML 2023 has organized various tutorials for participants. These tutorials cover a wide range of topics and provide a comprehensive understanding of machine learning. Here are the nine tutorials participants can choose from:
1. Optimal Transport in Learning, Control, and Dynamical Systems
2. Reinforcement Learning from Human Feedback: A Tutorial
3. Tutorial on Multimodal Machine Learning: Principles, Challenges, and Open Questions
4. Disinformation, Fake News and Computational Propaganda: Challenges and Opportunities for Machine Learning Research
5. How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy
6. Self-Supervised Learning in Vision: from Research Advances to Best Practices
7. Discovering Agent-Centric Latent States in Theory and in Practice
8. Recent Advances in the Generalization Theory of Neural Networks
9. Responsible AI for Generative AI in Practice: Lessons Learned and Open Challenges
Workshops for Enriching Knowledge
ICML 2023 offers an array of workshops that cover various subfields and emerging trends in machine learning. These workshops allow participants to delve deeper into specific topics and engage in discussions with experts. Here is the list of workshops:
– 2nd ICML Workshop on New Frontiers in Adversarial Machine Learning
– New Frontiers in Learning, Control, and Dynamical Systems
– The Synergy of Scientific and Machine Learning Modelling (SynS & ML) Workshop
– Knowledge and Logical Reasoning in the Era of Data-driven Learning
– Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities
– 2nd Workshop on Formal Verification of Machine Learning
– Workshop on Theory of Mind in Communicating Agents
– Challenges in Deployable Generative AI
– Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators
– Structured Probabilistic Inference and Generative Modeling
– PAC-Bayes Meets Interactive Learning
– HiLD: High-dimensional Learning Dynamics Workshop
– The Many Facets of Preference-Based Learning
– 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML)
– 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH)
– The Second Workshop on Spurious Correlations, Invariance and Stability
– ES-FoMo: Efficient Systems for Foundation Models
– Duality Principles for Modern Machine Learning
– ICML 2023 Workshop on Computational Biology
– Neural Compression: From Information Theory to Applications
– Sampling and Optimization in Discrete Space
– Generative AI and Law (GenLaw)
– 2nd ICML Workshop on Machine Learning for Astrophysics
– Localized Learning: Decentralized Model Updates via Non-Global Objectives
– Machine Learning for Multimodal Healthcare Data
– Neural Conversational AI Workshop – What’s left to TEACH (Trustworthy, Enhanced, Adaptable, Capable and Human-centric) chatbots?
– DMLR Workshop: Data-centric Machine Learning Research
– Artificial Intelligence & Human Computer Interaction
– Interactive Learning with Implicit Human Feedback
– “Could it have been different?” Counterfactuals in Minds and Machines
Registration and More Information
Participants interested in attending ICML 2023 can find more details and registration information on the official conference website [provided above]. With a diverse range of talks, affinity events, tutorials, and workshops, ICML 2023 promises to be an enriching and valuable experience for all participants.
In conclusion, ICML 2023 is an upcoming international conference that brings together machine learning experts from around the globe. With a schedule packed with invited talks, affinity events, tutorials, and workshops, participants can expect to gain valuable insights and knowledge in the field of machine learning. Ensure to visit the official ICML 2023 website for further information and registration.
Summary: What Exciting Events Are Ahead at #ICML2023?
The International Conference on Machine Learning (ICML) is set to take place in Honolulu, Hawai’i from July 23-29, 2023. This year’s conference will feature four invited talks on various topics including ethical ML in health and machine learning with social purpose. Attendees will have the opportunity to participate in oral and poster presentations, tutorials, and workshops. The tutorials will cover subjects such as optimal transport in learning, reinforcement learning from human feedback, and self-supervised learning in vision. The workshops will focus on subjects such as adversarial machine learning, learning control and dynamical systems, and scientific machine learning modeling. To learn more about the conference, visit the ICML website.
