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Elan Rosenfeld
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2020 – today
- 2024
- [c12]Elan Rosenfeld, Andrej Risteski:
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization. ICLR 2024 - [c11]Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters:
Identifying Representations for Intervention Extrapolation. ICLR 2024 - [c10]Elan Rosenfeld, Nir Rosenfeld:
One-Shot Strategic Classification Under Unknown Costs. ICML 2024 - 2023
- [c9]Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar:
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing. NeurIPS 2023 - [c8]Elan Rosenfeld, Saurabh Garg:
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy. NeurIPS 2023 - [i15]Elan Rosenfeld, Saurabh Garg:
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy. CoRR abs/2306.00312 (2023) - [i14]Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar:
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing. CoRR abs/2306.02235 (2023) - [i13]Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Ravikumar, Niklas Pfister, Jonas Peters:
Identifying Representations for Intervention Extrapolation. CoRR abs/2310.04295 (2023) - [i12]Elan Rosenfeld, Nir Rosenfeld:
One-Shot Strategic Classification Under Unknown Costs. CoRR abs/2311.02761 (2023) - [i11]Elan Rosenfeld, Andrej Risteski:
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization. CoRR abs/2311.04163 (2023) - 2022
- [c7]Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski:
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization. AISTATS 2022: 2641-2657 - [c6]Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski:
Deep Attentive Variational Inference. ICLR 2022 - [c5]Bingbin Liu, Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski:
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation. ICLR 2022 - [c4]Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski:
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments. NeurIPS 2022 - [i10]Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski:
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization. CoRR abs/2202.06856 (2022) - [i9]Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, Oncel Tuzel, Fartash Faghri:
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations. CoRR abs/2210.03927 (2022) - 2021
- [c3]Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski:
The Risks of Invariant Risk Minimization. ICLR 2021 - [i8]Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski:
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization. CoRR abs/2102.13128 (2021) - [i7]Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski:
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments. CoRR abs/2106.09913 (2021) - [i6]Bingbin Liu, Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski:
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation. CoRR abs/2110.11271 (2021) - 2020
- [c2]Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter:
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. ICML 2020: 8230-8241 - [i5]Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter:
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. CoRR abs/2002.03018 (2020) - [i4]Ifigeneia Apostolopoulou, Elan Rosenfeld, Artur Dubrawski:
Self-Reflective Variational Autoencoder. CoRR abs/2007.05166 (2020) - [i3]Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski:
The Risks of Invariant Risk Minimization. CoRR abs/2010.05761 (2020)
2010 – 2019
- 2019
- [c1]Jeremy Cohen, Elan Rosenfeld, J. Zico Kolter:
Certified Adversarial Robustness via Randomized Smoothing. ICML 2019: 1310-1320 - [i2]Jeremy Cohen, Elan Rosenfeld, J. Zico Kolter:
Certified Adversarial Robustness via Randomized Smoothing. CoRR abs/1902.02918 (2019) - [i1]Elan Rosenfeld, Santosh S. Vempala, Manuel Blum:
Human-Usable Password Schemas: Beyond Information-Theoretic Security. CoRR abs/1906.00029 (2019)
Coauthor Index
aka: Pradeep Kumar Ravikumar
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