Milind Nakul

About Me

I am a third year Ph.D. student in Machine Learning at H. Milton Stewart School of Industrial and Systems Engineering, Georgia Tech. I am fortunate to be advised by Prof. Ashwin Pananjady and Prof. Vidya Muthukumar. Before this, I completed my bachelor’s and master’s in Electrical Engineering from IIT Kanpur.

Research Interests

My research interests lie at the intersection of high-dimensional statistics, optimization, and reinforcement learning. I am particularly passionate about developing theoretically motivated algorithms to address fundamental challenges in these fields. Recently, my work has focused on creating techniques that enable effective learning from dependent data. I have focused on:

• Distribution estimation from dependent samples
• Stochastic optimization for statistical and machine learning
• Policy evaluation in reinforcement learning

Publications

Talks and Presentations

• INFORMS Annual Meeting, Atlanta, Georgia, Oct 2025
  • Title: Multiscale replay: A robust algorithm for stochastic variational inequalities with a Markovian buffer (Slides)
• Conference on Learning Theory (COLT), Lyon, France, Jul 2025
  • Title: Estimating stationary mass, frequency by frequency (Slides)
• International Indian Statistical Association (IISA) Conference, Linclon, Nebraska, Jun 2025
  • Title: Estimating stationary mass, frequency by frequency (Poster)
• Georgia Statistics Day, Atlanta, Georgia, Oct 2024
  • Title: Multiscale replay: A robust algorithm for stochastic variational inequalities with a Markovian buffer (Poster)

Services

• Conference Reviewing: ICML 2026, ALT 2026, COLT 2026
• Joural Reviewing: Annals of Statistics
• Webmaster: Stochastic Networks, Applied Probability, and Performance (SNAPP) Seminar

Awards

• John Morris Fellowship by H. Milton Stewart School of Industrial & Systems Engineering
• Dr. Prateek Mishra Memorial Gold Medal by IIT Kanpur
• Academic Excellence Award (equivalent to Dean’s List) by IIT Kanpur