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Workshop Completed

Machine Learning Theory Workshop

📅 April 22, 2026 - April 24, 2026
📍 Online Event
👥 367 Participants

About This Event

Deep dive into theoretical foundations of machine learning, optimization theory, and statistical learning theory.

Topics Covered

ML Theory Optimization Statistical Learning

Keynote Speakers

🎤 Prof. Michael Jordan
🎤 Prof. Yoshua Bengio

Participants

🎤 Keynote Speakers (1)

Prof. Andrew Ng
🏛️ Stanford University
🌍 USA
📝 Deep Learning Fundamentals
Confirmed

🗣️ Speakers (3)

Dr. Yann Dubois
🏛️ INRIA
🌍 France
📝 Optimization Theory
Confirmed
Prof. Marco Rossi
🏛️ University of Milan
🌍 Italy
📝 Generalization Theory
Confirmed
Dr. Carlos Mendes
🏛️ University of Campinas
🌍 Brazil
📝 Online Learning Algorithms
Confirmed

👥 Panelists (1)

Prof. Sarah Johnson
🏛️ MIT
🌍 USA
Confirmed

📊 Presenters (3)

Prof. Hiroshi Sato
🏛️ Tokyo Tech
🌍 Japan
📝 Statistical Learning Bounds
Confirmed
Dr. Raj Kumar
🏛️ IISc Bangalore
🌍 India
📝 PAC Learning Framework
Confirmed
Prof. Li Zhang
🏛️ Peking University
🌍 China
📝 Neural Tangent Kernels
Confirmed

👤 Attendees (2)

Dr. Fatima Al-Rashid
🏛️ KAUST
🌍 Saudi Arabia
Registered
Dr. Emma Larsson
🏛️ KTH Royal Institute
🌍 Sweden
Registered

Event Information

Organizer
Axiom Gateway ML Research
Target Audience
PhD Students, Researchers, Academics
Capacity
367 / 400 participants
Free Event
No registration fee required
Event Completed

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