Keynote I: Statistical Learning with Sparsity

Keynote I: Trevor Hastie, Stanford University, USA

Keynote II: Symbolic, Statistical and Causal AI

Keynote II: Bernhard Schölkopf, Max Planck Institute for Intelligent Systems, Germany

Keynote III: Progress in Learning to Simplify Ultrasound

Keynote III: Alison Noble, University of Oxford, UK

Keynote IV: More Is Different - Beyond Wittgenstein's Philosophy

Keynote IV: Dacheng Tao, University of Sydney, Australia

Invited I: Adventures and Impact of AI in Face Recognition and Deepfakes

Invited I: Richa Singh, Indian Institute of Technology Jodhpur

Invited II: Improving Machine Vision using Insights from Neuroscience

Invited II: SP Arun, Indian Institute of Science Bangalore

Invited III: Reinforcement Learning with Structured Actions and Policies

Invited III: Balaram Ravindran, Indian Institute of Technology Madras

Invited IV: Convex Optimization: Tools and Applications in Statistics and Data Science

Invited IV: Balasubramanian Narasimhan, Stanford University, USA

Invited V: Computer-Aided Healthcare in Era of Artificial Intelligence

Invited V: Gajendra P. S. Raghava, Indraprastha Institute of Information Technology, New Delhi

Technical Sessions: