Hamed Hassani - RankMe

222 papers A* 44A 10B 8C 2Misc 1Journal 141Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contextual Safety Reasoning and Grounding for Open-World Robots. CoRR Zachary Ravichandran, David Snyder, Alexander Robey, Hamed Hassani, Vijay Kumar, George J. Pappas
2026	J	`jnl`	Multi-Round Human-AI Collaboration with User-Specified Requirements. CoRR Sima Noorani, Shayan Kiyani, Hamed Hassani, George J. Pappas
2026	J	`jnl`	Robust Policy Optimization to Prevent Catastrophic Forgetting. CoRR Mahdi Sabbaghi, George J. Pappas, Adel Javanmard, Hamed Hassani
2026	J	`jnl`	Safety Guardrails for LLM-Enabled Robots. IEEE Robotics Autom. Lett. Zachary Ravichandran, Alexander Robey, Vijay Kumar, George J. Pappas, Hamed Hassani
2026	J	`jnl`	Towards Reducible Uncertainty Modeling for Reliable Large Language Model Agents. CoRR Changdae Oh, Seongheon Park, To Eun Kim, Jiatong Li, Wendi Li, Samuel Yeh, Xuefeng Du, Hamed Hassani, Paul Bogdan, Dawn Song, Sharon Li
2026	J	`jnl`	When to Trust the Cheap Check: Weak and Strong Verification for Reasoning. CoRR Shayan Kiyani, Sima Noorani, George J. Pappas, Hamed Hassani
2025	J	`jnl`	Adaptively evaluating models with task elicitation. CoRR Davis Brown, Prithvi Balehannina, Helen Jin, Shreya Havaldar, Hamed Hassani, Eric Wong
2025	A*	`conf`	Adaptively profiling models with task elicitation. EMNLP Davis Brown, Prithvi Balehannina, Helen Jin, Shreya Havaldar, Hamed Hassani, Eric Wong
2025	J	`jnl`	Adversarial Attacks on Robotic Vision Language Action Models. CoRR Eliot Krzysztof Jones, Alexander Robey, Andy Zou, Zachary Ravichandran, George J. Pappas, Hamed Hassani, Matt Fredrikson, J. Zico Kolter
2025	A*	`conf`	Adversarial Reasoning at Jailbreaking Time. ICML Mahdi Sabbaghi, Paul Kassianik, George J. Pappas, Amin Karbasi, Hamed Hassani
2025	J	`jnl`	Adversarial Reasoning at Jailbreaking Time. CoRR Mahdi Sabbaghi, Paul Kassianik, George J. Pappas, Yaron Singer, Amin Karbasi, Hamed Hassani
2025	A*	`conf`	Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding. ICLR Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
2025	—	`conf`	Asymptotics of Linear Regression with Linearly Dependent Data. L4DC Behrad Moniri, Hamed Hassani
2025	J	`jnl`	Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation. Trans. Mach. Learn. Res. Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Nathaniel Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J. Zico Kolter
2025	J	`jnl`	Benchmarking Misuse Mitigation Against Covert Adversaries. CoRR Davis Brown, Mahdi Sabbaghi, Luze Sun, Alexander Robey, George J. Pappas, Eric Wong, Hamed Hassani
2025	J	`jnl`	BrowserArena: Evaluating LLM Agents on Real-World Web Navigation Tasks. CoRR Sagnik Anupam, Davis Brown, Shuo Li, Eric Wong, Hamed Hassani, Osbert Bastani
2025	J	`jnl`	Conformal Information Pursuit for Interactively Guiding Large Language Models. CoRR Kwan Ho Ryan Chan, Yuyan Ge, Edgar Dobriban, Hamed Hassani, René Vidal
2025	J	`jnl`	Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models. CoRR Sima Noorani, Shayan Kiyani, George J. Pappas, Hamed Hassani
2025	A*	`conf`	Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents. ICML Shayan Kiyani, George J. Pappas, Aaron Roth, Hamed Hassani
2025	J	`jnl`	Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents. CoRR Shayan Kiyani, George J. Pappas, Aaron Roth, Hamed Hassani
2025	—	`conf`	Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. IJCNLP-AACL (Short Papers) Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang
2025	—	`conf`	Evaluating the Performance of Large Language Models via Debates. NAACL (Findings) Behrad Moniri, Hamed Hassani, Edgar Dobriban
2025	J	`jnl`	Human-AI Collaborative Uncertainty Quantification. CoRR Sima Noorani, Shayan Kiyani, George J. Pappas, Hamed Hassani
2025	—	`conf`	Jailbreaking Black Box Large Language Models in Twenty Queries. SaTML Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong
2025	A*	`conf`	Jailbreaking LLM-Controlled Robots. ICRA Alexander Robey, Zachary Ravichandran, Vijay Kumar, Hamed Hassani, George J. Pappas
2025	J	`jnl`	Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts. CoRR Sunay Joshi, Shayan Kiyani, George J. Pappas, Edgar Dobriban, Hamed Hassani
2025	J	`jnl`	MultiRisk: Multiple Risk Control via Iterative Score Thresholding. CoRR Sunay Joshi, Yan Sun, Hamed Hassani, Edgar Dobriban
2025	A*	`conf`	On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning. ICML Thomas T. C. K. Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni
2025	J	`jnl`	On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning. CoRR Thomas T. Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni
2025	J	`jnl`	On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective. CoRR Behrad Moniri, Hamed Hassani
2025	J	`jnl`	Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff. CoRR Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
2025	J	`jnl`	Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation. IEEE Trans. Autom. Control. Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2025	J	`jnl`	Robust Decision Making with Partially Calibrated Forecasts. CoRR Shayan Kiyani, Hamed Hassani, George J. Pappas, Aaron Roth
2025	J	`jnl`	Safety Guardrails for LLM-Enabled Robots. CoRR Zachary Ravichandran, Alexander Robey, Vijay Kumar, George J. Pappas, Hamed Hassani
2025	J	`jnl`	SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks. Trans. Mach. Learn. Res. Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas
2025	—	`conf`	Watermark Smoothing Attacks against Language Models. EMNLP (Findings) Hongyan Chang, Hamed Hassani, Reza Shokri
2024	A*	`conf`	A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks. ICML Behrad Moniri, Donghwan Lee, Hamed Hassani, Edgar Dobriban
2024	A*	`conf`	Adversarial Training Should Be Cast as a Non-Zero-Sum Game. ICLR Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher
2024	J	`jnl`	Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding. CoRR Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
2024	J	`jnl`	Asymptotics of Linear Regression with Linearly Dependent Data. CoRR Behrad Moniri, Hamed Hassani
2024	J	`jnl`	Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation. CoRR Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J. Zico Kolter
2024	J	`jnl`	Binary Classification Under ℓ0 Attacks for General Noise Distribution. IEEE Trans. Inf. Theory Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2024	A*	`conf`	Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth. ICML Kevin Kögler, Aleksandr Shevchenko, Hamed Hassani, Marco Mondelli
2024	J	`jnl`	Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth. CoRR Kevin Kögler, Alexander Shevchenko, Hamed Hassani, Marco Mondelli
2024	A*	`conf`	Conformal Prediction with Learned Features. ICML Shayan Kiyani, George J. Pappas, Hamed Hassani
2024	J	`jnl`	Conformal Prediction with Learned Features. CoRR Shayan Kiyani, George J. Pappas, Hamed Hassani
2024	J	`jnl`	Conformal Risk Minimization with Variance Reduction. CoRR Sima Noorani, Orlando Romero, Nicolò Dal Fabbro, Hamed Hassani, George J. Pappas
2024	J	`jnl`	Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. CoRR Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang
2024	J	`jnl`	Efficient and Robust Classification for Sparse Attacks. IEEE J. Sel. Areas Inf. Theory Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2024	J	`jnl`	Evaluating the Performance of Large Language Models via Debates. CoRR Behrad Moniri, Hamed Hassani, Edgar Dobriban
2024	J	`jnl`	Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks. CoRR Mahdi Sabbaghi, George J. Pappas, Hamed Hassani, Surbhi Goel
2024	J	`jnl`	Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity. Trans. Mach. Learn. Res. Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson
2024	J	`jnl`	Generalization Properties of Adversarial Training for 𝓁 CoRR Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2024	A*	`conf`	JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models. NeurIPS Patrick Chao, Edoardo Debenedetti, Alexander Robey, Maksym Andriushchenko, Francesco Croce, Vikash Sehwag, Edgar Dobriban, Nicolas Flammarion, George J. Pappas, Florian Tramèr, Hamed Hassani, Eric Wong
2024	J	`jnl`	JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models. CoRR Patrick Chao, Edoardo Debenedetti, Alexander Robey, Maksym Andriushchenko, Francesco Croce, Vikash Sehwag, Edgar Dobriban, Nicolas Flammarion, George J. Pappas, Florian Tramèr, Hamed Hassani, Eric Wong
2024	J	`jnl`	Jailbreaking LLM-Controlled Robots. CoRR Alexander Robey, Zachary Ravichandran, Vijay Kumar, Hamed Hassani, George J. Pappas
2024	A*	`conf`	Length Optimization in Conformal Prediction. NeurIPS Shayan Kiyani, George J. Pappas, Hamed Hassani
2024	J	`jnl`	Length Optimization in Conformal Prediction. CoRR Shayan Kiyani, George J. Pappas, Hamed Hassani
2024	C	`conf`	Min-Max Optimization Under Delays. ACC Arman Adibi, Aritra Mitra, Hamed Hassani
2024	A*	`conf`	One-Shot Safety Alignment for Large Language Models via Optimal Dualization. NeurIPS Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding
2024	J	`jnl`	One-Shot Safety Alignment for Large Language Models via Optimal Dualization. CoRR Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding
2024	A*	`conf`	Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. ICML Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai
2024	J	`jnl`	Signal-Plus-Noise Decomposition of Nonlinear Spiked Random Matrix Models. CoRR Behrad Moniri, Hamed Hassani
2024	A	`conf`	Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. AISTATS Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
2024	J	`jnl`	Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. CoRR Arman Adibi, Nicolò Dal Fabbro, Luca Schenato, Sanjeev R. Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra
2024	J	`jnl`	Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. Trans. Mach. Learn. Res. Aritra Mitra, George J. Pappas, Hamed Hassani
2024	A*	`conf`	Uncertainty in Language Models: Assessment through Rank-Calibration. EMNLP Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban
2024	J	`jnl`	Uncertainty in Language Models: Assessment through Rank-Calibration. CoRR Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban
2024	J	`jnl`	Watermark Smoothing Attacks against Language Models. CoRR Hongyan Chang, Hamed Hassani, Reza Shokri
2024	J	`jnl`	Watermarking Language Models with Error Correcting Codes. CoRR Patrick Chao, Edgar Dobriban, Hamed Hassani
2023	J	`jnl`	A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks. CoRR Behrad Moniri, Donghwan Lee, Hamed Hassani, Edgar Dobriban
2023	C	`conf`	Adversarial Tradeoffs in Robust State Estimation. ACC Thomas T. C. K. Zhang, Bruce D. Lee, Hamed Hassani, Nikolai Matni
2023	J	`jnl`	Adversarial Training Should Be Cast as a Non-Zero-Sum Game. CoRR Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher
2023	J	`jnl`	Channel Coding at Low Capacity. IEEE J. Sel. Areas Inf. Theory Mohammad Fereydounian, Hamed Hassani, Mohammad Vahid Jamali, Hessam Mahdavifar
2023	J	`jnl`	Data-Driven Modeling and Verification of Perception-Based Autonomous Systems. CoRR Thomas Waite, Alexander Robey, Hamed Hassani, George J. Pappas, Radoslav Ivanov
2023	A*	`conf`	Demystifying Disagreement-on-the-Line in High Dimensions. ICML Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani
2023	J	`jnl`	Demystifying Disagreement-on-the-Line in High Dimensions. CoRR Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani
2023	B	`conf`	Federated Neural Compression Under Heterogeneous Data. ISIT Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
2023	J	`jnl`	Federated Neural Compression Under Heterogeneous Data. CoRR Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
2023	J	`jnl`	Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity. CoRR Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson
2023	A*	`conf`	Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods. ICML Aleksandr Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli
2023	B	`conf`	Generalization Properties of Adversarial Training for -ℓ0 Bounded Adversarial Attacks. ITW Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2023	J	`jnl`	Jailbreaking Black Box Large Language Models in Twenty Queries. CoRR Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong
2023	—	`conf`	Linear Stochastic Bandits over a Bit-Constrained Channel. L4DC Aritra Mitra, Hamed Hassani, George J. Pappas
2023	J	`jnl`	Min-Max Optimization under Delays. CoRR Arman Adibi, Aritra Mitra, Hamed Hassani
2023	—	`conf`	On a Relation Between the Rate-Distortion Function and Optimal Transport. Tiny Papers @ ICLR Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
2023	J	`jnl`	On a Relation Between the Rate-Distortion Function and Optimal Transport. CoRR Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
2023	J	`jnl`	Optimal Heterogeneous Collaborative Linear Regression and Contextual Bandits. CoRR Xinmeng Huang, Kan Xu, Donghwan Lee, Hamed Hassani, Hamsa Bastani, Edgar Dobriban
2023	J	`jnl`	Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation. CoRR Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2023	J	`jnl`	Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. CoRR Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai
2023	J	`jnl`	Provable Tradeoffs in Adversarially Robust Classification. IEEE Trans. Inf. Theory Edgar Dobriban, Hamed Hassani, David Hong, Alexander Robey
2023	J	`jnl`	Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach. IEEE Trans. Inf. Theory Mohammad Fereydounian, Aryan Mokhtari, Ramtin Pedarsani, Hamed Hassani
2023	J	`jnl`	Score-Based Methods for Discrete Optimization in Deep Learning. CoRR Eric Lei, Arman Adibi, Hamed Hassani
2023	A*	`conf`	Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning. ICLR Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri
2023	J	`jnl`	Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning. CoRR Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri
2023	J	`jnl`	SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks. CoRR Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas
2023	J	`jnl`	Straggler-Resilient Personalized Federated Learning. Trans. Mach. Learn. Res. Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari
2023	J	`jnl`	T-Cal: An Optimal Test for the Calibration of Predictive Models. J. Mach. Learn. Res. Donghwan Lee, Xinmeng Huang, Hamed Hassani, Edgar Dobriban
2023	J	`jnl`	Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning. CoRR Aritra Mitra, George J. Pappas, Hamed Hassani
2023	J	`jnl`	Text + Sketch: Image Compression at Ultra Low Rates. CoRR Eric Lei, Yigit Berkay Uslu, Hamed Hassani, Shirin Saeedi Bidokhti
2023	—	`conf`	Toward Certified Robustness Against Real-World Distribution Shifts. SaTML Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George J. Pappas, Hamed Hassani, Corina S. Pasareanu, Clark W. Barrett
2022	Misc	`conf`	Adaptive Node Participation for Straggler-Resilient Federated Learning. ICASSP Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani
2022	J	`jnl`	Age of Information in Random Access Channels. IEEE Trans. Inf. Theory Xingran Chen, Konstantinos Gatsis, Hamed Hassani, Shirin Saeedi Bidokhti
2022	A*	`conf`	An Agnostic Approach to Federated Learning with Class Imbalance. ICLR Zebang Shen, Juan Cerviño, Hamed Hassani, Alejandro Ribeiro
2022	B	`conf`	Binary Classification Under ℓ0 Attacks for General Noise Distribution. ISIT Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2022	J	`jnl`	Binary Classification Under 𝓁 CoRR Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2022	—	`conf`	Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks. CDC Anton Xue, Lars Lindemann, Alexander Robey, Hamed Hassani, George J. Pappas, Rajeev Alur
2022	J	`jnl`	Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks. CoRR Anton Xue, Lars Lindemann, Alexander Robey, Hamed Hassani, George J. Pappas, Rajeev Alur
2022	A*	`conf`	Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints. NeurIPS Xinmeng Huang, Donghwan Lee, Edgar Dobriban, Hamed Hassani
2022	J	`jnl`	Collaborative Learning of Distributions under Heterogeneity and Communication Constraints. CoRR Xinmeng Huang, Donghwan Lee, Edgar Dobriban, Hamed Hassani
2022	A*	`conf`	Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. NeurIPS Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani
2022	J	`jnl`	Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds. CoRR Aritra Mitra, Arman Adibi, George J. Pappas, Hamed Hassani
2022	—	`conf`	Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CDC Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani
2022	J	`jnl`	Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents. CoRR Arman Adibi, Aritra Mitra, George J. Pappas, Hamed Hassani
2022	J	`jnl`	Do Deep Networks Transfer Invariances Across Classes? CoRR Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn
2022	A*	`conf`	Do deep networks transfer invariances across classes? ICLR Allan Zhou, Fahim Tajwar, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn
2022	B	`conf`	Efficient and Robust Classification for Sparse Attacks. ISIT Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2022	J	`jnl`	Efficient and Robust Classification for Sparse Attacks. CoRR Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2022	A*	`conf`	FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. NeurIPS Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai
2022	J	`jnl`	FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. CoRR Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai
2022	A	`conf`	Federated Functional Gradient Boosting. AISTATS Zebang Shen, Hamed Hassani, Satyen Kale, Amin Karbasi
2022	J	`jnl`	Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods. CoRR Alexander Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli
2022	J	`jnl`	Linear Stochastic Bandits over a Bit-Constrained Channel. CoRR Aritra Mitra, Hamed Hassani, George J. Pappas
2022	—	`conf`	Low-Complexity Decoding of a Class of Reed-Muller Subcodes for Low-Capacity Channels. ICC Mohammad Vahid Jamali, Mohammad Fereydounian, Hessam Mahdavifar, Hamed Hassani
2022	J	`jnl`	Low-Complexity Decoding of a Class of Reed-Muller Subcodes for Low-Capacity Channels. CoRR Mohammad Vahid Jamali, Mohammad Fereydounian, Hessam Mahdavifar, Hamed Hassani
2022	A	`conf`	Minimax Optimization: The Case of Convex-Submodular. AISTATS Arman Adibi, Aryan Mokhtari, Hamed Hassani
2022	J	`jnl`	Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding. CoRR Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
2022	J	`jnl`	Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding. IEEE J. Sel. Areas Inf. Theory Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
2022	B	`conf`	Neural Estimation of the Rate-Distortion Function for Massive Datasets. ISIT Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
2022	—	`conf`	Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control. CDC Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2022	J	`jnl`	Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control. CoRR Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2022	A*	`conf`	Probabilistically Robust Learning: Balancing Average and Worst-case Performance. ICML Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani
2022	J	`jnl`	Probabilistically Robust Learning: Balancing Average- and Worst-case Performance. CoRR Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani
2022	A*	`conf`	Probable Domain Generalization via Quantile Risk Minimization. NeurIPS Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf
2022	J	`jnl`	Probable Domain Generalization via Quantile Risk Minimization. CoRR Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf
2022	J	`jnl`	Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach. CoRR Mohammad Fereydounian, Aryan Mokhtari, Ramtin Pedarsani, Hamed Hassani
2022	J	`jnl`	Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model. SIAM J. Math. Data Sci. Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2022	A*	`conf`	Self-Consistency of the Fokker Planck Equation. COLT Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Amin Karbasi, Hamed Hassani
2022	J	`jnl`	Self-Consistency of the Fokker-Planck Equation. CoRR Zebang Shen, Zhenfu Wang, Satyen Kale, Alejandro Ribeiro, Amin Karbasi, Hamed Hassani
2022	J	`jnl`	Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. IEEE J. Sel. Areas Inf. Theory Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani
2022	J	`jnl`	Straggler-Resilient Personalized Federated Learning. CoRR Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari
2022	J	`jnl`	T-Cal: An optimal test for the calibration of predictive models. CoRR Donghwan Lee, Xinmeng Huang, Hamed Hassani, Edgar Dobriban
2022	J	`jnl`	The Exact Class of Graph Functions Generated by Graph Neural Networks. CoRR Mohammad Fereydounian, Hamed Hassani, Javid Dadashkarimi, Amin Karbasi
2022	J	`jnl`	The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression. CoRR Hamed Hassani, Adel Javanmard
2022	J	`jnl`	Toward Certified Robustness Against Real-World Distribution Shifts. CoRR Haoze Wu, Teruhiro Tagomori, Alexander Robey, Fengjun Yang, Nikolai Matni, George J. Pappas, Hamed Hassani, Corina S. Pasareanu, Clark W. Barrett
2021	J	`jnl`	Achieving Linear Convergence in Federated Learning under Objective and Systems Heterogeneity. CoRR Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani
2021	A*	`conf`	Adversarial Robustness with Semi-Infinite Constrained Learning. NeurIPS Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
2021	J	`jnl`	Adversarial Robustness with Semi-Infinite Constrained Learning. CoRR Alexander Robey, Luiz F. O. Chamon, George J. Pappas, Hamed Hassani, Alejandro Ribeiro
2021	J	`jnl`	Adversarial Tradeoffs in Linear Inverse Problems and Robust State Estimation. CoRR Bruce D. Lee, Thomas T. C. K. Zhang, Hamed Hassani, Nikolai Matni
2021	J	`jnl`	AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data. CoRR Francisco Barreras, Mikhail Hayhoe, Hamed Hassani, Victor M. Preciado
2021	J	`jnl`	Binary Linear Codes With Optimal Scaling: Polar Codes With Large Kernels. IEEE Trans. Inf. Theory Arman Fazeli, Hamed Hassani, Marco Mondelli, Alexander Vardy
2021	A*	`conf`	Deep Reinforcement Learning for Active Target Tracking. ICRA Heejin Jeong, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas
2021	J	`jnl`	Dynamic Online Learning via Frank-Wolfe Algorithm. IEEE Trans. Signal Process. Deepak S. Kalhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Hamed Hassani, Abhishek K. Gupta, Adrish Banerjee
2021	J	`jnl`	Exploiting Heterogeneity in Robust Federated Best-Arm Identification. CoRR Aritra Mitra, Hamed Hassani, George J. Pappas
2021	A*	`conf`	Exploiting Shared Representations for Personalized Federated Learning. ICML Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai
2021	J	`jnl`	Exploiting Shared Representations for Personalized Federated Learning. CoRR Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai
2021	J	`jnl`	Federated Functional Gradient Boosting. CoRR Zebang Shen, Hamed Hassani, Satyen Kale, Amin Karbasi
2021	—	`conf`	Federated Learning with Incrementally Aggregated Gradients. CDC Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani
2021	J	`jnl`	Latency-Reliability Tradeoffs for State Estimation. IEEE Trans. Autom. Control. Konstantinos Gatsis, Hamed Hassani, George J. Pappas
2021	A*	`conf`	Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients. NeurIPS Aritra Mitra, Rayana H. Jaafar, George J. Pappas, Hamed Hassani
2021	J	`jnl`	Minimax Optimization: The Case of Convex-Submodular. CoRR Arman Adibi, Aryan Mokhtari, Hamed Hassani
2021	A*	`conf`	Model-Based Domain Generalization. NeurIPS Alexander Robey, George J. Pappas, Hamed Hassani
2021	J	`jnl`	Model-Based Domain Generalization. CoRR Alexander Robey, George J. Pappas, Hamed Hassani
2021	—	`conf`	Online Federated Learning. CDC Aritra Mitra, Hamed Hassani, George J. Pappas
2021	—	`conf`	Optimal Algorithms for Submodular Maximization with Distributed Constraints. L4DC Alexander Robey, Arman Adibi, Brent Schlotfeldt, Hamed Hassani, George J. Pappas
2021	J	`jnl`	Out-of-Distribution Robustness in Deep Learning Compression. CoRR Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
2021	J	`jnl`	Robust Classification Under 𝓁 CoRR Payam Delgosha, Hamed Hassani, Ramtin Pedarsani
2020	B	`conf`	Age of Information in Random Access Channels. ISIT Xingran Chen, Konstantinos Gatsis, Hamed Hassani, Shirin Saeedi Bidokhti
2020	A	`conf`	Black Box Submodular Maximization: Discrete and Continuous Settings. AISTATS Lin Chen, Mingrui Zhang, Hamed Hassani, Amin Karbasi
2020	A	`conf`	FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. AISTATS Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani
2020	J	`jnl`	Learning to Track Dynamic Targets in Partially Known Environments. CoRR Heejin Jeong, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas
2020	J	`jnl`	Model-Based Robust Deep Learning. CoRR Alexander Robey, Hamed Hassani, George J. Pappas
2020	A	`conf`	One Sample Stochastic Frank-Wolfe. AISTATS Mingrui Zhang, Zebang Shen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi
2020	A*	`conf`	Precise Tradeoffs in Adversarial Training for Linear Regression. COLT Adel Javanmard, Mahdi Soltanolkotabi, Hamed Hassani
2020	J	`jnl`	Precise Tradeoffs in Adversarial Training for Linear Regression. CoRR Adel Javanmard, Mahdi Soltanolkotabi, Hamed Hassani
2020	J	`jnl`	Provable tradeoffs in adversarially robust classification. CoRR Edgar Dobriban, Hamed Hassani, David Hong, Alexander Robey
2020	A*	`conf`	Quantized Decentralized Stochastic Learning over Directed Graphs. ICML Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2020	A	`conf`	Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free. AISTATS Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi
2020	J	`jnl`	Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs. CoRR Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2020	J	`jnl`	Safe Learning under Uncertain Objectives and Constraints. CoRR Mohammad Fereydounian, Zebang Shen, Aryan Mokhtari, Amin Karbasi, Hamed Hassani
2020	A*	`conf`	Sinkhorn Barycenter via Functional Gradient Descent. NeurIPS Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani
2020	J	`jnl`	Sinkhorn Barycenter via Functional Gradient Descent. CoRR Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani
2020	A*	`conf`	Sinkhorn Natural Gradient for Generative Models. NeurIPS Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani
2020	J	`jnl`	Sinkhorn Natural Gradient for Generative Models. CoRR Zebang Shen, Zhenfu Wang, Alejandro Ribeiro, Hamed Hassani
2020	J	`jnl`	Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization. J. Mach. Learn. Res. Aryan Mokhtari, Hamed Hassani, Amin Karbasi
2020	J	`jnl`	Stochastic Conditional Gradient++: (Non)Convex Minimization and Continuous Submodular Maximization. SIAM J. Optim. Hamed Hassani, Amin Karbasi, Aryan Mokhtari, Zebang Shen
2020	J	`jnl`	Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. CoRR Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani
2020	A*	`conf`	Submodular Meta-Learning. NeurIPS Arman Adibi, Aryan Mokhtari, Hamed Hassani
2020	J	`jnl`	Submodular Meta-Learning. CoRR Arman Adibi, Aryan Mokhtari, Hamed Hassani
2019	J	`jnl`	Age of Information in Random Access Channels. CoRR Xingran Chen, Konstantinos Gatsis, Hamed Hassani, Shirin Saeedi Bidokhti
2019	J	`jnl`	An Exact Quantized Decentralized Gradient Descent Algorithm. IEEE Trans. Signal Process. Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2019	J	`jnl`	Black Box Submodular Maximization: Discrete and Continuous Settings. CoRR Lin Chen, Mingrui Zhang, Hamed Hassani, Amin Karbasi
2019	B	`conf`	Channel Coding at Low Capacity. ITW Mohammad Fereydounian, Mohammad Vahid Jamali, Hamed Hassani, Hessam Mahdavifar
2019	A*	`conf`	Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. NeurIPS Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas
2019	J	`jnl`	Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks. CoRR Mahyar Fazlyab, Alexander Robey, Hamed Hassani, Manfred Morari, George J. Pappas
2019	A*	`conf`	Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. ICML Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi
2019	J	`jnl`	FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. CoRR Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani
2019	A*	`conf`	Hessian Aided Policy Gradient. ICML Zebang Shen, Alejandro Ribeiro, Hamed Hassani, Hui Qian, Chao Mi
2019	A	`conf`	Learning Q-network for Active Information Acquisition. IROS Heejin Jeong, Brent Schlotfeldt, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas
2019	J	`jnl`	Learning Q-network for Active Information Acquisition. CoRR Heejin Jeong, Brent Schlotfeldt, Hamed Hassani, Manfred Morari, Daniel D. Lee, George J. Pappas
2019	B	`conf`	Non-asymptotic Coded Slotted ALOHA. ISIT Mohammad Fereydounian, Xingran Chen, Hamed Hassani, Shirin Saeedi Bidokhti
2019	J	`jnl`	One Sample Stochastic Frank-Wolfe. CoRR Mingrui Zhang, Zebang Shen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi
2019	A*	`conf`	Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback. NeurIPS Mingrui Zhang, Lin Chen, Hamed Hassani, Amin Karbasi
2019	J	`jnl`	Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback. CoRR Mingrui Zhang, Lin Chen, Hamed Hassani, Amin Karbasi
2019	J	`jnl`	Optimal Algorithms for Submodular Maximization with Distributed Constraints. CoRR Alexander Robey, Arman Adibi, Brent Schlotfeldt, George J. Pappas, Hamed Hassani
2019	J	`jnl`	Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization. CoRR Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi
2019	A*	`conf`	Robust and Communication-Efficient Collaborative Learning. NeurIPS Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2019	J	`jnl`	Robust and Communication-Efficient Collaborative Learning. CoRR Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2019	J	`jnl`	Stochastic Conditional Gradient++. CoRR Hamed Hassani, Amin Karbasi, Aryan Mokhtari, Zebang Shen
2019	A*	`conf`	Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match. NeurIPS Amin Karbasi, Hamed Hassani, Aryan Mokhtari, Zebang Shen
2018	J	`jnl`	Channel Coding at Low Capacity. CoRR Mohammad Fereydounian, Mohammad Vahid Jamali, Hamed Hassani, Hessam Mahdavifar
2018	A	`conf`	Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap. AISTATS Aryan Mokhtari, Hamed Hassani, Amin Karbasi
2018	A*	`conf`	Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings. ICML Aryan Mokhtari, Hamed Hassani, Amin Karbasi
2018	J	`jnl`	Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. CoRR Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi
2018	J	`jnl`	Latency-Reliability Tradeoffs for State Estimation. CoRR Konstantinos Gatsis, Hamed Hassani, George J. Pappas
2018	A	`conf`	Online Continuous Submodular Maximization. AISTATS Lin Chen, Hamed Hassani, Amin Karbasi
2018	J	`jnl`	Online Continuous Submodular Maximization. CoRR Lin Chen, Hamed Hassani, Amin Karbasi
2018	A*	`conf`	Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity. ICML Lin Chen, Christopher Harshaw, Hamed Hassani, Amin Karbasi
2018	—	`conf`	Quantized Decentralized Consensus Optimization. CDC Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani
2018	J	`jnl`	SPECTRE: Seedless Network Alignment via Spectral Centralities. CoRR Mikhail Hayhoe, Francisco Barreras, Hamed Hassani, Victor M. Preciado
2018	J	`jnl`	Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization. CoRR Aryan Mokhtari, Hamed Hassani, Amin Karbasi
2017	J	`jnl`	Accelerated Dual Learning by Homotopic Initialization. CoRR Hadi Daneshmand, Hamed Hassani, Thomas Hofmann