I am a first year doctoral student in the Industrial Engineering and Operations Research Department at Columbia University.

I am broadly interested in the theoretical aspects of Machine Learning. Some speicific areas of interest include Online Learning, Bandits, Optimization, Reinforcement Learning Theory and Statistical learning theory.

I hold an MS in CS from the University of Massachusetts, Amherst and a B.Tech in CSE from the Indian Institute of Technology, Kharagpur. I spent a year as a Budding Scientist at Conduent Labs/Xerox Research Center India.

My CV: CV

Email: sudeepraja.putta at columbia.edu

## News

- I will be attending COLT’19 and STOC’19 at Phoenix.
- I will be attending the MIFODS workshop on Non-convex optimization and deep learning in January.
- My paper, Exponential Weights on the Hypercube in Polynomial Time, has been accepted at AISTATS 2019. This is joint work with Abhishek Shetty.
- I received the Sudha Mishra and Rajesh Jha Scholarship.
- In summer 2018 I will be interning with Navin Goyal at MSR Bangalore.

## Publications

### 2019

- Exponential Weights on the Hypercube in Polynomial Time
**Sudeep Raja Putta**, Abhishek Shetty

AISTATS 2019.

### 2018

- Exponential Weights on the Hypercube in Polynomial Time
**Sudeep Raja Putta**

EWRL 2018. (This paper is superseded by the AISTATS 2019 paper)

### 2017

- Pure Exploration in Episodic Fixed-Horizon Markov Decision Processes
**Sudeep Raja Putta**, Theja Tulabandhula

AAMAS 2017. Short paper. - Efficient Reinforcement Learning via Initial Pure Exploration
**Sudeep Raja Putta**, Theja Tulabandhula

RLDM 2017.

## Quotes

Don’t worry about the overall importance of the problem; work on it if it looks interesting. I think there’s a sufficient correlation between interest and importance. — David Blackwell