Elan Rosenfeld

30 papers A* 11A 1Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep sequence models tend to memorize geometrically; it is unclear why. CoRR Shahriar Noroozizadeh, Vaishnavh Nagarajan, Elan Rosenfeld, Sanjiv Kumar
2025	J	`jnl`	Hidden Breakthroughs in Language Model Training. CoRR Sara Kangaslahti, Elan Rosenfeld, Naomi Saphra
2024	A*	`conf`	Identifying Representations for Intervention Extrapolation. ICLR Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters
2024	A*	`conf`	One-Shot Strategic Classification Under Unknown Costs. ICML Elan Rosenfeld, Nir Rosenfeld
2024	A*	`conf`	Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization. ICLR Elan Rosenfeld, Andrej Risteski
2024	—	`—`	Understanding, Formally Characterizing, and Robustly Handling Real-World Distribution Shift Elan Rosenfeld
2023	A*	`conf`	(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy. NeurIPS Elan Rosenfeld, Saurabh Garg
2023	J	`jnl`	(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy. CoRR Elan Rosenfeld, Saurabh Garg
2023	J	`jnl`	Identifying Representations for Intervention Extrapolation. CoRR Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Ravikumar, Niklas Pfister, Jonas Peters
2023	A*	`conf`	Learning Linear Causal Representations from Interventions under General Nonlinear Mixing. NeurIPS Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar
2023	J	`jnl`	Learning Linear Causal Representations from Interventions under General Nonlinear Mixing. CoRR Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar
2023	J	`jnl`	One-Shot Strategic Classification Under Unknown Costs. CoRR Elan Rosenfeld, Nir Rosenfeld
2023	J	`jnl`	Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization. CoRR Elan Rosenfeld, Andrej Risteski
2022	J	`jnl`	APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations. CoRR Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, Oncel Tuzel, Fartash Faghri
2022	A	`conf`	An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization. AISTATS Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
2022	A*	`conf`	Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation. ICLR Bingbin Liu, Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski
2022	A*	`conf`	Deep Attentive Variational Inference. ICLR Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski
2022	J	`jnl`	Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization. CoRR Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
2022	A*	`conf`	Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments. NeurIPS Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski
2021	J	`jnl`	An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization. CoRR Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
2021	J	`jnl`	Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation. CoRR Bingbin Liu, Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
2021	J	`jnl`	Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments. CoRR Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski
2021	A*	`conf`	The Risks of Invariant Risk Minimization. ICLR Elan Rosenfeld, Pradeep Kumar Ravikumar, Andrej Risteski
2020	A*	`conf`	Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. ICML Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter
2020	J	`jnl`	Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. CoRR Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter
2020	J	`jnl`	Self-Reflective Variational Autoencoder. CoRR Ifigeneia Apostolopoulou, Elan Rosenfeld, Artur Dubrawski
2020	J	`jnl`	The Risks of Invariant Risk Minimization. CoRR Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
2019	A*	`conf`	Certified Adversarial Robustness via Randomized Smoothing. ICML Jeremy Cohen, Elan Rosenfeld, J. Zico Kolter
2019	J	`jnl`	Certified Adversarial Robustness via Randomized Smoothing. CoRR Jeremy Cohen, Elan Rosenfeld, J. Zico Kolter
2019	J	`jnl`	Human-Usable Password Schemas: Beyond Information-Theoretic Security. CoRR Elan Rosenfeld, Santosh S. Vempala, Manuel Blum