Alexander Levine

39 papers A* 14A 2Journal 22

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory. ICLR Alexander Levine, Peter Stone, Amy Zhang
2025	J	`jnl`	Offline Action-Free Learning of Ex-BMDPs by Comparing Diverse Datasets. CoRR Alexander Levine, Peter Stone, Amy Zhang
2024	J	`jnl`	Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory. CoRR Alexander Levine, Peter Stone, Amy Zhang
2024	J	`jnl`	Multistep Inverse Is Not All You Need. RLJ Alexander Levine, Peter Stone, Amy Zhang
2024	J	`jnl`	Multistep Inverse Is Not All You Need. CoRR Alexander Levine, Peter Stone, Amy Zhang
2023	A*	`conf`	Goal-Conditioned Q-learning as Knowledge Distillation. AAAI Alexander Levine, Soheil Feizi
2023	A*	`conf`	Provable Robustness against Wasserstein Distribution Shifts via Input Randomization. ICLR Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
2023	—	`—`	Scalable Methods for Robust Machine Learning. Alexander Levine
2022	J	`jnl`	Certifying Model Accuracy under Distribution Shifts. CoRR Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
2022	J	`jnl`	Goal-Conditioned Q-Learning as Knowledge Distillation. CoRR Alexander Levine, Soheil Feizi
2022	A*	`conf`	Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. ICML Wenxiao Wang, Alexander Levine, Soheil Feizi
2022	J	`jnl`	Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. CoRR Wenxiao Wang, Alexander Levine, Soheil Feizi
2022	J	`jnl`	Invariant Learning via Diffusion Dreamed Distribution Shifts. CoRR Priyatham Kattakinda, Alexander Levine, Soheil Feizi
2022	A*	`conf`	Lethal Dose Conjecture on Data Poisoning. NeurIPS Wenxiao Wang, Alexander Levine, Soheil Feizi
2022	J	`jnl`	Lethal Dose Conjecture on Data Poisoning. CoRR Wenxiao Wang, Alexander Levine, Soheil Feizi
2022	A*	`conf`	Policy Smoothing for Provably Robust Reinforcement Learning. ICLR Aounon Kumar, Alexander Levine, Soheil Feizi
2022	A	`conf`	Provable Adversarial Robustness for Fractional Lp Threat Models. AISTATS Alexander Levine, Soheil Feizi
2022	J	`jnl`	Provable Adversarial Robustness for Fractional Lp Threat Models. CoRR Alexander Levine, Soheil Feizi
2022	A*	`conf`	Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. CVPR Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi
2021	A*	`conf`	Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks. ICLR Alexander Levine, Soheil Feizi
2021	A*	`conf`	Improved, Deterministic Smoothing for L ICML Alexander Levine, Soheil Feizi
2021	J	`jnl`	Improved, Deterministic Smoothing for L1 Certified Robustness. CoRR Alexander Levine, Soheil Feizi
2021	J	`jnl`	Policy Smoothing for Provably Robust Reinforcement Learning. CoRR Aounon Kumar, Alexander Levine, Soheil Feizi
2021	J	`jnl`	Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. CoRR Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi
2020	A*	`conf`	(De)Randomized Smoothing for Certifiable Defense against Patch Attacks. NeurIPS Alexander Levine, Soheil Feizi
2020	J	`jnl`	(De)Randomized Smoothing for Certifiable Defense against Patch Attacks. CoRR Alexander Levine, Soheil Feizi
2020	A*	`conf`	Certifying Confidence via Randomized Smoothing. NeurIPS Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein
2020	J	`jnl`	Certifying Confidence via Randomized Smoothing. CoRR Aounon Kumar, Alexander Levine, Soheil Feizi, Tom Goldstein
2020	A*	`conf`	Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness. ICML Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
2020	J	`jnl`	Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness. CoRR Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
2020	J	`jnl`	Deep Partition Aggregation: Provable Defense against General Poisoning Attacks. CoRR Alexander Levine, Soheil Feizi
2020	A*	`conf`	Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. NeurIPS Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi
2020	J	`jnl`	Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. CoRR Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi
2020	A*	`conf`	Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation. AAAI Alexander Levine, Soheil Feizi
2020	J	`jnl`	Tight Second-Order Certificates for Randomized Smoothing. CoRR Alexander Levine, Aounon Kumar, Thomas A. Goldstein, Soheil Feizi
2020	A	`conf`	Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks. AISTATS Alexander Levine, Soheil Feizi
2019	J	`jnl`	Certifiably Robust Interpretation in Deep Learning. CoRR Alexander Levine, Sahil Singla, Soheil Feizi
2019	J	`jnl`	Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation. CoRR Alexander Levine, Soheil Feizi
2019	J	`jnl`	Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks. CoRR Alexander Levine, Soheil Feizi