Elan Rosenfeld

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 the theoretical foundations of machine learning as a basis for human-like intelligence; in particular, I focus on robustness, representation learning, and out-of-distribution generalization. I work to develop principled formal analyses of the statistical and algorithmic properties of these tasks and possible approaches to solving them.

Research/Mentorship Opportunities: I am always happy to discuss my research with students; if you are interested in collaborating, please do not hesitate to reach out. 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] [Google Scholar]
Conference Publications:

The Risks of Invariant Risk Minimization
ICLR 2021

Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
[arXiv] [poster] [CMU AI Seminar Talk] [2 minute spotlight presentation]

Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
ICML 2020

Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, Zico Kolter
[arXiv] [blog post] [virtual poster/presentation] [slides]

Certified Adversarial Robustness via Randomized Smoothing
ICML 2019

Jeremy Cohen, Elan Rosenfeld, Zico Kolter
[arXiv] [code] [short ICML talk] [Zico's Simons talk]


Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation
ICML 2021 Workshop: Beyond First Order Methods in Machine Learning

Bingbin Liu, Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
[workshop paper]

Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments

Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski

An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization
ICLR 2021 Workshop: RobustML

Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
[arXiv] [poster]

Workshops and Manuscripts:

Self-Reflective Variational Autoencoder
ICLR 2021 Workshop: Hardware Aware Efficient Training

Ifigeneia Apostolopoulou, Elan Rosenfeld, Artur Dubrawski

Human-Usable Password Schemas: Beyond Information-Theoretic Security
CMU Senior Thesis
Awarded “Exemplary Senior Honors Thesis”

Elan Rosenfeld, Santosh Vempala, Manuel Blum
[arXiv] [poster]