Research focus
Purdue University Fort WayneFort Wayne
My current research focuses on the fundamental aspects of learning, specifically exploring benign overfitting, long-tailed distributions, and the hardness of learning.
ML
Statistics
NLP
Latest publications
A preview of approved public publications linked to this researcher.
- Open
Learning Overspecified Gaussian Mixtures Exponentially Fast with the EM Algorithm
Lecture Notes in Computer Science - 2025 - OpenAlex00 OpenAlex citations - Open
Convergence of the EM algorithm in KL distance for overspecified Gaussian mixtures
Statistical Papers - 2025 - OpenAlex01 OpenAlex citation - Open
Classifier Performance on Long‐Tail Distributions
Statistical Analysis and Data Mining The ASA Data Science Journal - 2025 - OpenAlex00 OpenAlex citations - Open
Gradient descent fails to learn high-frequency functions and modular arithmetic
Machine Learning - 2025 - OpenAlex01 OpenAlex citation - Open
Long-Tail Theory Under Gaussian Mixtures
Frontiers in artificial intelligence and applications - 2023 - OpenAlex01 OpenAlex citation - Open
Hardness of Learning AES with Gradient-Based Methods
Lecture Notes in Computer Science - 2023 - OpenAlex00 OpenAlex citations
Regional connection
DSML member