Elan Rosenfeld

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Risk Minimization

Feature Matching

Top Venues

Publications

Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters
Identifying Representations for Intervention Extrapolation. ICLR (2024)
Elan Rosenfeld, Andrej Risteski
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization. ICLR (2024)
Elan Rosenfeld, Saurabh Garg
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy. CoRR (2023)
Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing. CoRR (2023)
Elan Rosenfeld, Saurabh Garg
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy. NeurIPS (2023)
Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing. NeurIPS (2023)
Elan Rosenfeld, Andrej Risteski
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization. CoRR (2023)
Elan Rosenfeld, Nir Rosenfeld
One-Shot Strategic Classification Under Unknown Costs. CoRR (2023)
Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Ravikumar, Niklas Pfister, Jonas Peters
Identifying Representations for Intervention Extrapolation. CoRR (2023)
Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski
Deep Attentive Variational Inference. ICLR (2022)
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization. CoRR (2022)
Bingbin Liu, Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation. ICLR (2022)
Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments. NeurIPS (2022)
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization. AISTATS (2022)
Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, Oncel Tuzel, Fartash Faghri
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations. CoRR (2022)
Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments. CoRR (2021)
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization. CoRR (2021)
Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski
The Risks of Invariant Risk Minimization. ICLR (2021)
Bingbin Liu, Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation. CoRR (2021)
Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. ICML (2020)
Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. CoRR (2020)
Ifigeneia Apostolopoulou, Elan Rosenfeld, Artur Dubrawski
Self-Reflective Variational Autoencoder. CoRR (2020)
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
The Risks of Invariant Risk Minimization. CoRR (2020)
Jeremy M. Cohen, Elan Rosenfeld, J. Zico Kolter
Certified Adversarial Robustness via Randomized Smoothing. ICML (2019)
Jeremy M. Cohen, Elan Rosenfeld, J. Zico Kolter
Certified Adversarial Robustness via Randomized Smoothing. CoRR (2019)
Elan Rosenfeld, Santosh S. Vempala, Manuel Blum
Human-Usable Password Schemas: Beyond Information-Theoretic Security. CoRR (2019)