Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization
ICLR 2024
Elan Rosenfeld, Andrej Risteski
[arXiv]
[ML Collective talk]
[X thread]
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
NeurIPS 2023
Elan Rosenfeld, Saurabh Garg
[arXiv]
[code]
[poster]
[X thread]
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization
NeurIPS DistShift 2022
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
[arXiv]
[poster]
The Risks of Invariant Risk Minimization
ICLR 2021
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
[arXiv]
[poster]
[CMU AI Seminar talk]
[2 minute video presentation]
Certified Adversarial Robustness via Randomized Smoothing
ICML 2019
Jeremy Cohen, Elan Rosenfeld, Zico Kolter
[arXiv]
[code]
[short talk]
[Zico's Simons talk]
One-Shot Strategic Classification Under Unknown Costs
ICML 2024
Elan Rosenfeld, Nir Rosenfeld
[arXiv]
Identifying Representations for Intervention Extrapolation
ICLR 2024
Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Ravikumar, Niklas Pfister, Jonas Peters
[arXiv]
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
NeurIPS 2023
Simon Buchholz*, Goutham Rajendran*, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar
[arXiv]
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments
NeurIPS 2022
Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski
[arXiv]
[poster]
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation
ICLR 2022
Bingbin Liu, Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
[arXiv]
[blog post]
Deep Attentive Variational Inference
ICLR 2022
Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski
[OpenReview]
[blog post]
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization
AISTATS 2021
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
[arXiv]
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
ICML 2020
Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, Zico Kolter
[arXiv]
[code (.zip)]
[blog post]
[virtual poster/presentation]
Loss in the Crowd
ICML 2024 Workshop on Mechanistic Interpretability
Sara Kangaslahti, Elan Rosenfeld, Naomi Saphra
[OpenReview]
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations
NeurIPS 2022 Workshop: Has It Trained Yet?
Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, Oncel Tuzel, Fartash Faghri
[arXiv]
[poster]
Self-Reflective Variational Autoencoder
ICLR 2021 Workshop: Hardware Aware Efficient Training
Ifigeneia Apostolopoulou, Elan Rosenfeld, Artur Dubrawski
[arXiv]
[poster]
[short presentation]
Human-Usable Password Schemas: Beyond Information-Theoretic Security
CMU Senior Thesis
Awarded “Exemplary Senior Honors Thesis”
Elan Rosenfeld, Santosh Vempala, Manuel Blum
[arXiv]
[poster]