Stony Brook alum and Senior Director of Programs at the National Academy of Engineering, Guru Madhavan shares insights from his latest book and discusses accountability, civic coordination, and learning in the age of AI.
I will be holding an informal 2-week short optimization course, to try
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/optimization-short-course/home
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/
I will be holding an informal 2-week short optimization course, to try
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/optimization-short-course/home
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/
I will be holding an informal 2-week short optimization course, to try
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/optimization-short-course/home
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/
I will be holding an informal 2-week short optimization course, to try
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/optimization-short-course/home
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/
I will be holding an informal 2-week short optimization course, to try
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/optimization-short-course/home
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/
I will be holding an informal 2-week short optimization course, to try
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/optimization-short-course/home
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/
I will be holding an informal 2-week short optimization course, to try
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/optimization-short-course/home
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/
I will be holding an informal 2-week short optimization course, to try
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/optimization-short-course/home
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/
I will be holding an informal 2-week short optimization course, to try
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/optimization-short-course/home
to cover a few important proofs in the field. The goal will be depth
over breadth, with focus on:
- convergence proofs for gradient descent and stochastic gradient descent
- energy functions and continuous time optimization
- estimate sequences and Nesterov acceleration
and, time permitting, additional topics like variance reduction,
quasi-Newton methods, and Frank-Wolfe methods. If we go super fast, we
can spend a few days at the end brainstorming interesting research
project ideas.
Details: NCS 220 6:15pm-7:45pm, Monday-Friday, Feb 7-Feb 18.
In person only, since I plan to use the whiteboard (but may be recorded)
More details will be uploaded here (notes, specific schedule):
https://sites.google.com/view/