Ritesh Goru
Notes on machine learning, optimization, and more
I'm currently working at DevRev. I completed my undergraduate degree in Electrical Engineering at IIT Bombay. I'm interested in Stochastic Approximation, MCMC techniques for Optimisation and Bayesian Learning Theory.
Check out my about page for more info.
Featured
Selected writings
-
Role of Tracking in Stationary Environments
Paper summary - On the Role of Tracking in Stationary Environments by Richard S. Sutton.
-
Procrastination and Scheduling
A unique view on procrastination through the lens of Markov Decision Processes and reinforcement learning.
-
Curve Ball and Newton Solvers
Paper summary - Small Steps and Giant Leaps - Minimal Newton Solvers for Deep Learning.
-
DAG with No Tears
Paper summary of DAG with NOTEARS - converting combinatorial structure learning into continuous optimization.
Recent Posts
Latest notes and summaries
-
What Everybody Is Saying - Book Summary
Book summary of "What Every Body is Saying" by Joe Navarro - insights into non-verbal communication.
-
The Mind of a Mnemonist - Book Summary
Book summary of "The Mind of a Mnemonist" by Alexander R. Luria - exploring the nature of extraordinary memory.
-
Codingame - Vehicle Control
Exploring optimal control for bot programming in Codingame's Coders Strike Back.
-
How I'm Learning to Play Piano
Documenting my journey of learning piano during the COVID-19 lockdown.