Click here for full 2024 conference information

General Co-Chairs

• Manuel Roveri, Politecnico di Milano, Italy
• Rahul Ghosh, Walmart, India
• Supratik Mukhopadhyay, Louisiana State University, USA

Keynote speakers 

Michael Jordan, UC Berkeley, USA

“A Collectivist View on AI:  Collaborative Learning, Statistical Incentives, and Social Welfare ”

Deepak Bansal, Corporate Vice-President, Microsoft Azure, USA

“Leveraging LLMs for Networking & Security in Cloud Environments”

Kavita Bala, Cornell University, USA

“Visual Discovery and Understanding in Satellite Imagery”

Dan Roth, Oracle and the University of Pennsylvania

“Reasoning Myths about Language Models: What is Next?”

Shree Nayar, Columbia University, USA

“Computational Imaging and Future Cameras”

Click here for full 2023 conference information

General Co-Chairs

• Kavita Bala, Cornell University, USA
• Jitendra Malik, University of California, Berkeley, USA 
• Ramachandran Ramjee, Partner research manager, Microsoft Research, India

Keynote speakers 

Christopher Matthew De Sa, Cornell University, USA

“Quantization and Compression in ML Systems ”

Milind Tambe, Google Research, Harvard University, USA

“Integrating ML+Optimization: Driving Social Impact in public health and conservation”

Svetha Venkatesh, Alfred Deakin Professor
Co-Director of Applied AI Institute, Deakin University, Australia.

“Sample efficient AI with applications in health care and advanced manufacturing”

Prof. Sanghamitra Bandyopadhyay, Indian Statistical Institute, India.

“Artificial Intelligence Techniques for Making Biological Discoveries: Some Case Studies”

Click here for full 2022 conference information

General Co-Chairs

• Ralph Herbrich, Hasso Plattner Institute, Germany
• Rajeev Rastogi, Amazon, India
• Dan Roth, University of Pennsylvania, USA

Keynote speakers 

Carlos Guestrin, Stanford University, USA

“How can you trust machine learning?”

Cynthia Rudin, Duke University, USA

“Do Simpler Machine Learning Models Exist and How Can We Find Them?”

Max Welling, University of Amsterdam & Microsoft Research, Netherlands

“The PDE Prior for Deep Learning”

Nikko Strom, Amazon, USA

“Edge computing in Alexa”

Partha Pratim Talukdar, IISc Bangalore & Google Research, India

“Scaling Natural Language Processing for the Next Billion Users”

Sunita Sarawagi, IIT Bombay, India

“Natural Language Interfaces to Database Systems: the deep learning way and the challenges therein”

Thorsten Joachims, Cornell University, USA

“Beyond Engagement: Optimizing the Long-Term Sustainability of Online Platforms”

Click here for full 2021 conference information

General Co-Chairs

• Pushpak Bhattacharyya, IIT Bombay, India
• Masatoshi Yoshikawa, Kyoto University, Japan

Keynote speakers 

Sang Cha and Wen-Syan Li, SNU, Korea

“Data Science for Everyone”

Juliana Freire, NYU Tandon School of Engineering, USA

“Towards Usability and Trust for Data-Driven Models”

Johannes Gehrke, Microsoft Research in Redmond, USA

“ML in Microsoft Teams and The Future of Software”

Sergei Kuznetsov, HSE University, Moscow, Russia

“Learning Rules and Taxonomies for Better Explanation”

Geoff Webb, Monash University, Australia

“Time series classification at scale”

Gerhard Weikum, Max-Planck-Institut für Informatik, Germany

“Knowledge Graphs 2021: Achievements, Challenges and Opportunities”