Rosenfeld, Elan

21 publications

ICLR 2024 Identifying Representations for Intervention Extrapolation Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters

ICMLW 2024 Loss in the Crowd: Hidden Breakthroughs in Language Model Training Sara Kangaslahti, Elan Rosenfeld, Naomi Saphra

ICML 2024 One-Shot Strategic Classification Under Unknown Costs Elan Rosenfeld, Nir Rosenfeld

ICLR 2024 Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization Elan Rosenfeld, Andrej Risteski

ICLRW 2024 Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization Elan Rosenfeld, Andrej Risteski

NeurIPS 2023 (Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy Elan Rosenfeld, Saurabh Garg

ICMLW 2023 (Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy Elan Rosenfeld, Saurabh Garg

NeurIPSW 2023 Identifying Representations for Intervention Extrapolation Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters

NeurIPS 2023 Learning Linear Causal Representations from Interventions Under General Nonlinear Mixing Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep K. Ravikumar

ICMLW 2023 Learning Linear Causal Representations from Interventions Under General Nonlinear Mixing Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Kumar Ravikumar

NeurIPSW 2023 Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization Elan Rosenfeld, Andrej Risteski

NeurIPSW 2023 Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization Elan Rosenfeld, Andrej Risteski

AISTATS 2022 An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski

NeurIPSW 2022 APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, Oncel Tuzel, Fartash Faghri

ICLR 2022 Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation Bingbin Liu, Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski

ICLR 2022 Deep Attentive Variational Inference Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski

NeurIPSW 2022 Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski

NeurIPS 2022 Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski

ICLR 2021 The Risks of Invariant Risk Minimization Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski

ICML 2020 Certified Robustness to Label-Flipping Attacks via Randomized Smoothing Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, Zico Kolter

ICML 2019 Certified Adversarial Robustness via Randomized Smoothing Jeremy Cohen, Elan Rosenfeld, Zico Kolter