Dr. Ananya Sharma
Foundations of Optimization in Machine Learning
Core principles of optimization and their role in ML systems. Abstract | Lecture | Watch | arXiv: 2701.01001
10:00-11:00
Prof. Vivek Singh
Convex Optimization and Applications
Theory and efficient solution methods for convex problems. Abstract | Lecture | Watch | arXiv: 2701.01002
11:00-12:00
Dr. Neha Gupta
Gradient Descent and Variants
Modern gradient-based optimization algorithms in practice. Abstract | Lecture | Watch | arXiv: 2701.01003
12:00-13:30
Lunch Break
13:30-14:30
Prof. Arjun Mehta
Optimization Challenges in Deep Learning
Non-convexity, generalization, and training stability. Abstract | Lecture | Watch | arXiv: 2701.01004
14:30-15:30
Dr. Sneha Iyer
Stochastic Optimization Techniques
Mini-batch optimization and stochastic approximations. Abstract | Lecture | Watch | arXiv: 2701.01005
15:30-16:30
Prof. Karan Verma
Optimization in Reinforcement Learning
Policy gradients and optimization in RL frameworks. Abstract | Lecture | Watch | arXiv: 2701.01006
16:30-17:00
Discussion & Interactive Problem Solving
17:00-18:00
Dinner
Saturday, 9 January 2027 (Tutorial Day 2)
08:00-09:00
Breakfast
09:00-10:00
Dr. Pooja Nair
Optimization in Large-Scale Systems
Scalable optimization in distributed environments. Abstract | Lecture | Watch | arXiv: 2701.01007
10:00-11:00
Prof. Rohit Das
Second-Order Methods and Acceleration
Advanced curvature-based optimization techniques. Abstract | Lecture | Watch | arXiv: 2701.01008
11:00-12:00
Dr. Ritu Malhotra
Optimization in Probabilistic Models
Inference and optimization in probabilistic frameworks. Abstract | Lecture | Watch | arXiv: 2701.01009
12:00-13:30
Lunch Break
13:30-14:30
Prof. Aditya Banerjee
Regularization and Generalization
Balancing bias-variance trade-offs in ML models. Abstract | Lecture | Watch | arXiv: 2701.01010
14:30-15:30
Dr. Kunal Roy
Optimization for Computer Vision
Applications in image recognition and visual learning. Abstract | Lecture | Watch | arXiv: 2701.01011
15:30-16:30
Prof. Meera Iyer
Optimization in Natural Language Processing
Efficient training of transformer-based models. Abstract | Lecture | Watch | arXiv: 2701.01012