Hi! I'm a PhD student in the Machine Learning Department at CMU where I am fortunate to be advised by Pradeep Ravikumar and Andrej Risteski. I graduated from CMU with degrees in Computer Science and Statistics & Machine Learning. Before entering grad school I spent two years as a software engineer at Google NYC where I worked on Search Research and Machine Intelligence.
I'm broadly interested in theoretical foundations of machine learning; in particular, I focus on robustness, representation learning, and out-of-distribution generalization. I work to develop principled analyses of the statistical and algorithmic properties of these tasks and possible approaches to solving them. Representative works are highlighted.
Research/Mentorship Opportunities: I am always happy to discuss new research directions; if you're a student at CMU interested in working on domain adaptation / generalization, robust / invariant representation learning, or robust ML more generally, reach out to me! I am also available to give advice and feedback for those who are applying to undergraduate or graduate programs in computer science. If you are applying for a PhD in CMU SCS, I encourage you to sign up to receive feedback through the Graduate Application Support Program.
You can reach me at [firstname] at cmu.edu[CV] [Semantic Scholar] [Google Scholar]
Analyzing and Improving the Optimization Landscape of
ICLR 2022 (To Appear)
Deep Attentive Variational Inference
ICLR 2022 (To Appear)
Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski
An Online Learning Approach to Interpolation and Extrapolation
in Domain Generalization
AISTATS 2022 (To Appear)
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
The Risks of Invariant Risk Minimization
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
Iterative Feature Matching: Toward Provable Domain Generalization
with Logarithmic Environments
Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski
Self-Reflective Variational Autoencoder
ICLR 2021 Workshop: Hardware Aware Efficient Training
Human-Usable Password Schemas: Beyond Information-Theoretic Security
CMU Senior Thesis
Awarded “Exemplary Senior Honors Thesis”