Elan Rosenfeld

According to our database, Elan Rosenfeld authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

One-Shot Strategic Classification Under Unknown Costs.

Elan Rosenfeld, Nir Rosenfeld

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Identifying Representations for Intervention Extrapolation.

Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization.

Elan Rosenfeld, Andrej Risteski

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy.

Elan Rosenfeld, Saurabh Garg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Linear Causal Representations from Interventions under General Nonlinear Mixing.

Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations.

Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, Oncel Tuzel, Fartash Faghri

CoRR, 2022

Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization.

Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski

CoRR, 2022

Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation.

Bingbin Liu, Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski

Proceedings of the Tenth International Conference on Learning Representations, 2022

Deep Attentive Variational Inference.

Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski

Proceedings of the Tenth International Conference on Learning Representations, 2022

An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization.

Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

The Risks of Invariant Risk Minimization.

Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Self-Reflective Variational Autoencoder.

Ifigeneia Apostolopoulou, Elan Rosenfeld, Artur Dubrawski

CoRR, 2020

Certified Robustness to Label-Flipping Attacks via Randomized Smoothing.

Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Human-Usable Password Schemas: Beyond Information-Theoretic Security.

Elan Rosenfeld, Santosh S. Vempala, Manuel Blum

CoRR, 2019

Certified Adversarial Robustness via Randomized Smoothing.

Jeremy Cohen, Elan Rosenfeld, J. Zico Kolter

Proceedings of the 36th International Conference on Machine Learning, 2019