| 2024 | ICLR | Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization. | Elan Rosenfeld, Andrej Risteski |
| 2024 | ICLR | Identifying Representations for Intervention Extrapolation. | Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters |
| 2024 | ICML | One-Shot Strategic Classification Under Unknown Costs. | Elan Rosenfeld, Nir Rosenfeld |
| 2022 | AISTATS | An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization. | Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski |
| 2022 | ICLR | Deep Attentive Variational Inference. | Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski |
| 2022 | ICLR | Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation. | Bingbin Liu, Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski |
| 2021 | ICLR | The Risks of Invariant Risk Minimization. | Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski |
| 2020 | ICML | Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. | Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter |
| 2019 | ICML | Certified Adversarial Robustness via Randomized Smoothing. | Jeremy Cohen, Elan Rosenfeld, J. Zico Kolter |