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Elan Rosenfeld
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Certified adversarial robustness via randomized smoothing
JM Cohen, E Rosenfeld, JZ Kolter
Proceedings of the 36th International Conference on Machine Learning, 2019
18432019
The Risks of Invariant Risk Minimization
E Rosenfeld, P Ravikumar, A Risteski
International Conference on Learning Representations, 2020
2632020
Certified robustness to label-flipping attacks via randomized smoothing
E Rosenfeld, E Winston, P Ravikumar, JZ Kolter
arXiv preprint arXiv:2002.03018, 2020
1332020
Domain-adjusted regression or: Erm may already learn features sufficient for out-of-distribution generalization
E Rosenfeld, P Ravikumar, A Risteski
arXiv preprint arXiv:2202.06856, 2022
642022
Iterative feature matching: Toward provable domain generalization with logarithmic environments
Y Chen, E Rosenfeld, M Sellke, T Ma, A Risteski
Advances in neural information processing systems 35, 1725-1736, 2022
292022
An online learning approach to interpolation and extrapolation in domain generalization
E Rosenfeld, P Ravikumar, A Risteski
International Conference on Artificial Intelligence and Statistics, 2021
28*2021
Learning linear causal representations from interventions under general nonlinear mixing
S Buchholz, G Rajendran, E Rosenfeld, B Aragam, B Schölkopf, ...
Advances in Neural Information Processing Systems 36, 2024
242024
Certified adversarial robustness via randomized smoothing
E Rosenfeld, JZ Kolter
CoRR abs/1902.02918, 2019
13*2019
Analyzing and improving the optimization landscape of noise-contrastive estimation
B Liu, E Rosenfeld, P Ravikumar, A Risteski
arXiv preprint arXiv:2110.11271, 2021
122021
Identifying representations for intervention extrapolation
S Saengkyongam, E Rosenfeld, P Ravikumar, N Pfister, J Peters
arXiv preprint arXiv:2310.04295, 2023
52023
Deep attentive variational inference
I Apostolopoulou, I Char, E Rosenfeld, A Dubrawski
International Conference on Learning Representations, 2021
32021
Outliers with opposing signals have an outsized effect on neural network optimization
E Rosenfeld, A Risteski
arXiv preprint arXiv:2311.04163, 2023
22023
One-shot strategic classification under unknown costs
E Rosenfeld, N Rosenfeld
arXiv preprint arXiv:2311.02761, 2023
22023
Human-Usable Password Schemas: Beyond Information-Theoretic Security
E Rosenfeld, S Vempala, M Blum
CMU Senior Honors Thesis, 2016
22016
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations
E Rosenfeld, P Nakkiran, H Pouransari, O Tuzel, F Faghri
arXiv preprint arXiv:2210.03927, 2022
12022
Method and system to classify sensor data with improved training robustness
EK Rosenfeld, EM Winston, F Schmidt, JZ Kolter
US Patent App. 17/025,076, 2021
12021
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
E Rosenfeld, S Garg
Advances in Neural Information Processing Systems 36, 2024
2024
Understanding, Formally Characterizing, and Robustly Handling Real-World Distribution Shift
E Rosenfeld
2023
Self-Reflective Variational Autoencoder
I Apostolopoulou, E Rosenfeld, A Dubrawski
arXiv preprint arXiv:2007.05166, 2020
2020
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