Aparna Gupte

I am a senior at MIT, majoring in Computer Science and Mathematics. Broadly, my research interests are in the area of machine learning theory, and its connections to cryptography, complexity theory and algorithm design. I am fortunate to be advised by Prof. Vinod Vaikuntanathan and Prof. Ankur Moitra. Currently, I'm interested in the computational hardness of statistics problems and deep learning theory.

Outside of research and classes, I enjoy music, art, reading books, and playing badminton. In the past, I have co-chaired the Panini Linguistics Olympiad Problem Committee, where we design fun linguistics puzzles for the annual competition.

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Research

Here are some of my papers, reports and posters from some of my research projects.

Continuous LWE is as Hard as LWE & Applications to Learning Gaussian Mixtures
Aparna Gupte, Neekon Vafa and Vinod Vaikuntanathan
FOCS, 2022
PCA as a defense against some adversaries
Aparna Gupte, Andrzej Banburski and Tomaso Poggio
CBMM Memo No. 135, 2022
Improving Neural Network Training Using Sobolev Loss functions
Aparna Gupte*, Liu Zhang*, Yunan Yang and Alex Townsend
JMM Student Poster Session, 2022
The Fine-grained Hardness of Sparse Linear Regression
Aparna Gupte and Vinod Vaikuntanathan
2021
Fine-grained Complexity of Sparse Linear Regression
Aparna Gupte and Kerri Lu. Mentor: Frederic Koehler
Summer Program in Undergraduate Research, MIT, 2020

* Equal contribution.
Authors listed in alphabetical order of last name, unless otherwise, as is the convention in theoretical computer science.

Service
Mentor, PRIMES Circle, MIT, Spring 2022
Tutor, 6.042 Mathematics for Computer Science and 18.600 Probability and Random Variables, MIT, Spring 2022
Undergraduate Teaching Assitant, 6.875 Cryptography and Cryptanalysis, MIT, Fall 2021
Co-chair, Panini Linguistics Olympiad Problem Committee, 2020 2021
Webmaster, Undergraduate Society for Women in Mathematics, MIT, May 2020 Present
Lab Assistant, 6.009 Fundamentals of Programming, MIT, Spring 2020

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