Mahdi Soltanolkotabi

148 papers A* 27A 2B 3C 3Misc 2Journal 98Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ATHENA: Adaptive Test-Time Steering for Improving Count Fidelity in Diffusion Models. CoRR Mohammad Shahab Sepehri, Asal Mehradfar, Berk Tinaz, Salman Avestimehr, Mahdi Soltanolkotabi
2026	J	`jnl`	Asymmetric Prompt Weighting for Reinforcement Learning with Verifiable Rewards. CoRR Reinhard Heckel, Mahdi Soltanolkotabi, Christos Thramboulidis
2026	J	`jnl`	CrispEdit: Low-Curvature Projections for Scalable Non-Destructive LLM Editing. CoRR Zarif Ikram, Arad Firouzkouhi, Stephen Tu, Mahdi Soltanolkotabi, Paria Rashidinejad
2026	J	`jnl`	Full-Batch Gradient Descent Outperforms One-Pass SGD: Sample Complexity Separation in Single-Index Learning. CoRR Filip Kovacevic, Hong Chang Ji, Denny Wu, Mahdi Soltanolkotabi, Marco Mondelli
2026	J	`jnl`	Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction. IEEE Trans. Inf. Theory Sara Fridovich-Keil, Fabrizio Valdivia, Gordon Wetzstein, Benjamin Recht, Mahdi Soltanolkotabi
2026	J	`jnl`	Learning to Recall with Transformers Beyond Orthogonal Embeddings. CoRR Nuri Mert Vural, Alberto Bietti, Mahdi Soltanolkotabi, Denny Wu
2026	J	`jnl`	Training Dynamics of Softmax Self-Attention: Fast Global Convergence via Preconditioning. CoRR Gautam Goel, Mahdi Soltanolkotabi, Peter L. Bartlett
2025	J	`jnl`	ConceptMix++: Leveling the Playing Field in Text-to-Image Benchmarking via Iterative Prompt Optimization. CoRR Haosheng Gan, Berk Tinaz, Mohammad Shahab Sepehri, Zalan Fabian, Mahdi Soltanolkotabi
2025	C	`conf`	CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction. ICBC Mohammad Shahab Sepehri, Asal Mehradfar, Mahdi Soltanolkotabi, Salman Avestimehr
2025	J	`jnl`	CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction. CoRR Mohammad Shahab Sepehri, Asal Mehradfar, Mahdi Soltanolkotabi, Salman Avestimehr
2025	J	`jnl`	Emergence and Evolution of Interpretable Concepts in Diffusion Models. CoRR Berk Tinaz, Zalan Fabian, Mahdi Soltanolkotabi
2025	J	`jnl`	FoNE: Precise Single-Token Number Embeddings via Fourier Features. CoRR Tianyi Zhou, Deqing Fu, Mahdi Soltanolkotabi, Robin Jia, Vatsal Sharan
2025	—	`conf`	HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models. CVPR Workshops Erum Mushtaq, Zalan Fabian, Yavuz Faruk Bakman, Anil Ramakrishna, Mahdi Soltanolkotabi, Salman Avestimehr
2025	J	`jnl`	HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models. CoRR Erum Mushtaq, Zalan Fabian, Yavuz Faruk Bakman, Anil Ramakrishna, Mahdi Soltanolkotabi, Salman Avestimehr
2025	J	`jnl`	Hyperphantasia: A Benchmark for Evaluating the Mental Visualization Capabilities of Multimodal LLMs. CoRR Mohammad Shahab Sepehri, Berk Tinaz, Zalan Fabian, Mahdi Soltanolkotabi
2025	J	`jnl`	Implicit Balancing and Regularization: Generalization and Convergence Guarantees for Overparameterized Asymmetric Matrix Sensing. IEEE Trans. Inf. Theory Mahdi Soltanolkotabi, Dominik Stöger, Changzhi Xie
2025	J	`jnl`	LANTERN: A Machine Learning Framework for Lipid Nanoparticle Transfection Efficiency Prediction. CoRR Asal Mehradfar, Mohammad Shahab Sepehri, José Miguel Hernández-Lobato, Glen S. Kwon, Mahdi Soltanolkotabi, Salman Avestimehr, Morteza Rasoulianboroujeni
2025	A*	`conf`	MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models. ICLR Mohammad Shahab Sepehri, Zalan Fabian, Maryam Soltanolkotabi, Mahdi Soltanolkotabi
2025	C	`conf`	On the stability properties of gradient flow dynamics for a symmetric low-rank matrix factorization problem. ACC Hesameddin Mohammadi, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2025	A*	`conf`	Test-Time Training Provably Improves Transformers as In-context Learners. ICML Halil Alperen Gozeten, Muhammed Emrullah Ildiz, Xuechen Zhang, Mahdi Soltanolkotabi, Marco Mondelli, Samet Oymak
2025	J	`jnl`	Test-Time Training Provably Improves Transformers as In-context Learners. CoRR Halil Alperen Gozeten, Muhammed Emrullah Ildiz, Xuechen Zhang, Mahdi Soltanolkotabi, Marco Mondelli, Samet Oymak
2025	J	`jnl`	The Rich and the Simple: On the Implicit Bias of Adam and SGD. CoRR Bhavya Vasudeva, Jung Whan Lee, Vatsal Sharan, Mahdi Soltanolkotabi
2025	J	`jnl`	Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning. Trans. Mach. Learn. Res. Mohammadamin Banayeeanzade, Mahdi Soltanolkotabi, Mohammad Rostami
2024	A*	`conf`	Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models. ICML Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
2024	A*	`conf`	DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency. ICML Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
2024	J	`jnl`	Learning from many trajectories. J. Mach. Learn. Res. Stephen Tu, Roy Frostig, Mahdi Soltanolkotabi
2024	J	`jnl`	MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models. CoRR Mohammad Shahab Sepehri, Zalan Fabian, Maryam Soltanolkotabi, Mahdi Soltanolkotabi
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`	Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models. CoRR Mohammad Shahab Sepehri, Zalan Fabian, Mahdi Soltanolkotabi
2024	J	`jnl`	Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem. CoRR Hesameddin Mohammadi, Mohammad Tinati, Stephen Tu, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2024	J	`jnl`	Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning. CoRR Mohammadamin Banayeeanzade, Mahdi Soltanolkotabi, Mohammad Rostami
2023	A*	`conf`	A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks. NeurIPS Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr
2023	J	`jnl`	A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks. CoRR Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr
2023	J	`jnl`	Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models. CoRR Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
2023	A*	`conf`	CUDA: Convolution-Based Unlearnable Datasets. CVPR Vinu Sankar Sadasivan, Mahdi Soltanolkotabi, Soheil Feizi
2023	J	`jnl`	CUDA: Convolution-based Unlearnable Datasets. CoRR Vinu Sankar Sadasivan, Mahdi Soltanolkotabi, Soheil Feizi
2023	J	`jnl`	DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency. CoRR Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
2023	J	`jnl`	Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory. CoRR Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr
2023	J	`jnl`	Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction. CoRR Sara Fridovich-Keil, Fabrizio Valdivia, Gordon Wetzstein, Benjamin Recht, Mahdi Soltanolkotabi
2023	A*	`conf`	Implicit Balancing and Regularization: Generalization and Convergence Guarantees for Overparameterized Asymmetric Matrix Sensing. COLT Mahdi Soltanolkotabi, Dominik Stöger, Changzhi Xie
2023	J	`jnl`	Implicit Balancing and Regularization: Generalization and Convergence Guarantees for Overparameterized Asymmetric Matrix Sensing. CoRR Mahdi Soltanolkotabi, Dominik Stöger, Changzhi Xie
2023	J	`jnl`	Learning A Disentangling Representation For PU Learning. CoRR Omar Zamzam, Haleh Akrami, Mahdi Soltanolkotabi, Richard M. Leahy
2023	A*	`conf`	Learning Provably Robust Estimators for Inverse Problems via Jittering. NeurIPS Anselm Krainovic, Mahdi Soltanolkotabi, Reinhard Heckel
2023	J	`jnl`	Learning Provably Robust Estimators for Inverse Problems via Jittering. CoRR Anselm Krainovic, Mahdi Soltanolkotabi, Reinhard Heckel
2023	A*	`conf`	On the Role of Attention in Prompt-tuning. ICML Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis
2023	J	`jnl`	On the Role of Attention in Prompt-tuning. CoRR Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis
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`	mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization. CoRR Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
2023	J	`jnl`	mL-BFGS: A Momentum-based L-BFGS for Distributed Large-scale Neural Network Optimization. Trans. Mach. Learn. Res. Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
2022	J	`jnl`	Convergence and Sample Complexity of Gradient Methods for the Model-Free Linear-Quadratic Regulator Problem. IEEE Trans. Autom. Control. Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2022	—	`conf`	FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. NAACL-HLT (Findings) Bill Yuchen Lin, Chaoyang He, Zihang Ze, Hulin Wang, Yufen Hua, Christophe Dupuy, Rahul Gupta, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr
2022	A*	`conf`	HUMUS-Net: Hybrid Unrolled Multi-scale Network Architecture for Accelerated MRI Reconstruction. NeurIPS Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi
2022	J	`jnl`	HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction. CoRR Zalan Fabian, Mahdi Soltanolkotabi
2022	J	`jnl`	Learning from many trajectories. CoRR Stephen Tu, Roy Frostig, Mahdi Soltanolkotabi
2022	A*	`conf`	Neural Networks can Learn Representations with Gradient Descent. COLT Alexandru Damian, Jason D. Lee, Mahdi Soltanolkotabi
2022	J	`jnl`	Neural Networks can Learn Representations with Gradient Descent. CoRR Alex Damian, Jason D. Lee, Mahdi Soltanolkotabi
2022	Misc	`conf`	On The Effectiveness of Active Learning by Uncertainty Sampling in Classification of High-Dimensional Gaussian Mixture Data. ICASSP Xiaoyi Mai, Salman Avestimehr, Antonio Ortega, Mahdi Soltanolkotabi
2022	A*	`conf`	Outlier-Robust Sparse Estimation via Non-Convex Optimization. NeurIPS Yu Cheng, Ilias Diakonikolas, Rong Ge, Shivam Gupta, Daniel Kane, Mahdi Soltanolkotabi
2022	J	`jnl`	SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing. CoRR Chaoyang He, Shuai Zheng, Aston Zhang, George Karypis, Trishul Chilimbi, Mahdi Soltanolkotabi, Salman Avestimehr
2022	B	`conf`	Statistical Minimax Lower Bounds for Transfer Learning in Linear Binary Classification. ISIT Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr
2022	J	`jnl`	The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning. CoRR Romain Cosentino, Sarath Shekkizhar, Mahdi Soltanolkotabi, Salman Avestimehr, Antonio Ortega
2022	J	`jnl`	Toward a Geometrical Understanding of Self-supervised Contrastive Learning. CoRR Romain Cosentino, Anirvan M. Sengupta, Salman Avestimehr, Mahdi Soltanolkotabi, Antonio Ortega, Theodore L. Willke, Mariano Tepper
2021	J	`jnl`	A Field Guide to Federated Optimization. CoRR Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu
2021	A*	`conf`	Data augmentation for deep learning based accelerated MRI reconstruction with limited data. ICML Zalan Fabian, Reinhard Heckel, Mahdi Soltanolkotabi
2021	J	`jnl`	Data augmentation for deep learning based accelerated MRI reconstruction with limited data. CoRR Zalan Fabian, Reinhard Heckel, Mahdi Soltanolkotabi
2021	J	`jnl`	FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks. CoRR Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan, Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman Avestimehr
2021	J	`jnl`	FedNLP: A Research Platform for Federated Learning in Natural Language Processing. CoRR Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr
2021	A*	`conf`	Generalization Guarantees for Neural Architecture Search with Train-Validation Split. ICML Samet Oymak, Mingchen Li, Mahdi Soltanolkotabi
2021	J	`jnl`	Generalization Guarantees for Neural Architecture Search with Train-Validation Split. CoRR Samet Oymak, Mingchen Li, Mahdi Soltanolkotabi
2021	J	`jnl`	On the Linear Convergence of Random Search for Discrete-Time LQR. IEEE Control. Syst. Lett. Hesameddin Mohammadi, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2021	—	`conf`	On the lack of gradient domination for linear quadratic Gaussian problems with incomplete state information. CDC Hesameddin Mohammadi, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2021	J	`jnl`	Outlier-Robust Sparse Estimation via Non-Convex Optimization. CoRR Yu Cheng, Ilias Diakonikolas, Daniel M. Kane, Rong Ge, Shivam Gupta, Mahdi Soltanolkotabi
2021	A*	`conf`	PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr
2021	J	`jnl`	PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers. CoRR Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr
2021	J	`jnl`	SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision. CoRR Chaoyang He, Zhengyu Yang, Erum Mushtaq, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
2021	A*	`conf`	Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction. NeurIPS Dominik Stöger, Mahdi Soltanolkotabi
2021	J	`jnl`	Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction. CoRR Dominik Stöger, Mahdi Soltanolkotabi
2021	A*	`conf`	Understanding Over-parameterization in Generative Adversarial Networks. ICLR Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi
2021	J	`jnl`	Understanding Overparameterization in Generative Adversarial Networks. CoRR Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat, Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi
2020	—	`conf`	3D Phase Retrieval at Nano-Scale via Accelerated Wirtinger Flow. EUSIPCO Zalan Fabian, Justin P. Haldar, Richard M. Leahy, Mahdi Soltanolkotabi
2020	J	`jnl`	3D Phase Retrieval at Nano-Scale via Accelerated Wirtinger Flow. CoRR Zalan Fabian, Justin P. Haldar, Richard M. Leahy, Mahdi Soltanolkotabi
2020	A*	`conf`	Approximation Schemes for ReLU Regression. COLT Ilias Diakonikolas, Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans, Mahdi Soltanolkotabi
2020	J	`jnl`	Approximation Schemes for ReLU Regression. CoRR Ilias Diakonikolas, Surbhi Goel, Sushrut Karmalkar, Adam R. Klivans, Mahdi Soltanolkotabi
2020	A*	`conf`	Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation. ICML Reinhard Heckel, Mahdi Soltanolkotabi
2020	J	`jnl`	Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation. CoRR Reinhard Heckel, Mahdi Soltanolkotabi
2020	A*	`conf`	Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators. ICLR Reinhard Heckel, Mahdi Soltanolkotabi
2020	A	`conf`	Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks. AISTATS Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak
2020	J	`jnl`	High-Dimensional Robust Mean Estimation via Gradient Descent. CoRR Yu Cheng, Ilias Diakonikolas, Rong Ge, Mahdi Soltanolkotabi
2020	A*	`conf`	High-dimensional Robust Mean Estimation via Gradient Descent. ICML Yu Cheng, Ilias Diakonikolas, Rong Ge, Mahdi Soltanolkotabi
2020	—	`conf`	Learning the model-free linear quadratic regulator via random search. L4DC Hesameddin Mohammadi, Mihailo R. Jovanovic, Mahdi Soltanolkotabi
2020	A*	`conf`	Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks. NeurIPS Seyed Mohammadreza Mousavi Kalan, Zalan Fabian, Salman Avestimehr, Mahdi Soltanolkotabi
2020	J	`jnl`	Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks. CoRR Seyed Mohammadreza Mousavi Kalan, Zalan Fabian, Amir Salman Avestimehr, Mahdi Soltanolkotabi
2020	J	`jnl`	Precise Statistical Analysis of Classification Accuracies for Adversarial Training. CoRR Adel Javanmard, Mahdi Soltanolkotabi
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	C	`conf`	Random search for learning the linear quadratic regulator. ACC Hesameddin Mohammadi, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2020	A*	`conf`	Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View. NeurIPS Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi
2020	J	`jnl`	Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View. CoRR Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi
2020	J	`jnl`	Toward Moderate Overparameterization: Global Convergence Guarantees for Training Shallow Neural Networks. IEEE J. Sel. Areas Inf. Theory Samet Oymak, Mahdi Soltanolkotabi
2019	J	`jnl`	Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem. CoRR Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2019	J	`jnl`	Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators. CoRR Reinhard Heckel, Mahdi Soltanolkotabi
2019	B	`conf`	Fitting ReLUs via SGD and Quantized SGD. ISIT Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr
2019	J	`jnl`	Fitting ReLUs via SGD and Quantized SGD. CoRR Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr
2019	J	`jnl`	Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian. CoRR Samet Oymak, Zalan Fabian, Mingchen Li, Mahdi Soltanolkotabi
2019	Misc	`conf`	Generalization, Adaptation and Low-Rank Representation in Neural Networks. ACSSC Samet Oymak, Zalan Fabian, Mingchen Li, Mahdi Soltanolkotabi
2019	—	`conf`	Global exponential convergence of gradient methods over the nonconvex landscape of the linear quadratic regulator. CDC Hesameddin Mohammadi, Armin Zare, Mahdi Soltanolkotabi, Mihailo R. Jovanovic
2019	J	`jnl`	Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks. CoRR Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak
2019	A	`conf`	Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy. AISTATS Qian Yu, Songze Li, Netanel Raviv, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr
2019	A*	`conf`	Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? ICML Samet Oymak, Mahdi Soltanolkotabi
2019	J	`jnl`	Structured Signal Recovery From Quadratic Measurements: Breaking Sample Complexity Barriers via Nonconvex Optimization. IEEE Trans. Inf. Theory Mahdi Soltanolkotabi
2019	J	`jnl`	Theoretical Insights Into the Optimization Landscape of Over-Parameterized Shallow Neural Networks. IEEE Trans. Inf. Theory Mahdi Soltanolkotabi, Adel Javanmard, Jason D. Lee
2019	J	`jnl`	Towards moderate overparameterization: global convergence guarantees for training shallow neural networks. CoRR Samet Oymak, Mahdi Soltanolkotabi
2018	B	`conf`	Accelerated Wirtinger Flow for Multiplexed Fourier Ptychographic Microscopy. ICIP Emrah Bostan, Mahdi Soltanolkotabi, David Ren, Laura Waller
2018	J	`jnl`	End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition. CoRR Samet Oymak, Mahdi Soltanolkotabi
2018	J	`jnl`	Fundamental Resource Trade-offs for Encoded Distributed Optimization. CoRR Amir Salman Avestimehr, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi
2018	J	`jnl`	Generalized Line Spectral Estimation via Convex Optimization. IEEE Trans. Inf. Theory Reinhard Heckel, Mahdi Soltanolkotabi
2018	—	`conf`	Near-Optimal Straggler Mitigation for Distributed Gradient Methods. IPDPS Workshops Songze Li, Seyed Mohammadreza Mousavi Kalan, Amir Salman Avestimehr, Mahdi Soltanolkotabi
2018	J	`jnl`	Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? CoRR Samet Oymak, Mahdi Soltanolkotabi
2018	J	`jnl`	Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding. CoRR Songze Li, Seyed Mohammadreza Mousavi Kalan, Qian Yu, Mahdi Soltanolkotabi, Amir Salman Avestimehr
2018	J	`jnl`	Sharp Time-Data Tradeoffs for Linear Inverse Problems. IEEE Trans. Inf. Theory Samet Oymak, Benjamin Recht, Mahdi Soltanolkotabi
2017	J	`jnl`	Fast and Reliable Parameter Estimation from Nonlinear Observations. SIAM J. Optim. Samet Oymak, Mahdi Soltanolkotabi
2017	—	`conf`	Gradient Methods for Submodular Maximization. NIPS S. Hamed Hassani, Mahdi Soltanolkotabi, Amin Karbasi
2017	J	`jnl`	Gradient Methods for Submodular Maximization. CoRR S. Hamed Hassani, Mahdi Soltanolkotabi, Amin Karbasi
2017	—	`conf`	Learning ReLUs via Gradient Descent. NIPS Mahdi Soltanolkotabi
2017	J	`jnl`	Learning ReLUs via Gradient Descent. CoRR Mahdi Soltanolkotabi
2017	J	`jnl`	Near-Optimal Straggler Mitigation for Distributed Gradient Methods. CoRR Songze Li, Seyed Mohammadreza Mousavi Kalan, Amir Salman Avestimehr, Mahdi Soltanolkotabi
2017	J	`jnl`	Structured signal recovery from quadratic measurements: Breaking sample complexity barriers via nonconvex optimization. CoRR Mahdi Soltanolkotabi
2017	J	`jnl`	Theoretical insights into the optimization landscape of over-parameterized shallow neural networks. CoRR Mahdi Soltanolkotabi, Adel Javanmard, Jason D. Lee
2016	J	`jnl`	Fast and Reliable Parameter Estimation from Nonlinear Observations. CoRR Samet Oymak, Mahdi Soltanolkotabi
2016	J	`jnl`	Generalized Line Spectral Estimation via Convex Optimization. CoRR Reinhard Heckel, Mahdi Soltanolkotabi
2016	A*	`conf`	Low-rank Solutions of Linear Matrix Equations via Procrustes Flow. ICML Stephen Tu, Ross Boczar, Max Simchowitz, Mahdi Soltanolkotabi, Ben Recht
2015	J	`jnl`	Experimental robustness of Fourier Ptychography phase retrieval algorithms. CoRR Li-Hao Yeh, Jonathan Dong, Jingshan Zhong, Lei Tian, Michael Chen, Gongguo Tang, Mahdi Soltanolkotabi, Laura Waller
2015	J	`jnl`	Isometric sketching of any set via the Restricted Isometry Property. CoRR Samet Oymak, Benjamin Recht, Mahdi Soltanolkotabi
2015	J	`jnl`	Phase Retrieval via Wirtinger Flow: Theory and Algorithms. IEEE Trans. Inf. Theory Emmanuel J. Candès, Xiaodong Li, Mahdi Soltanolkotabi
2015	J	`jnl`	Sharp Time-Data Tradeoffs for Linear Inverse Problems. CoRR Samet Oymak, Benjamin Recht, Mahdi Soltanolkotabi
2014	J	`jnl`	Phase Retrieval via Wirtinger Flow: Theory and Algorithms. CoRR Emmanuel J. Candès, Xiaodong Li, Mahdi Soltanolkotabi
2014	J	`jnl`	Super-Resolution Radar. CoRR Reinhard Heckel, Veniamin I. Morgenshtern, Mahdi Soltanolkotabi
2013	J	`jnl`	Phase Retrieval from masked Fourier transforms. CoRR Emmanuel J. Candès, Xiaodong Li, Mahdi Soltanolkotabi
2013	J	`jnl`	Robust Subspace Clustering CoRR Mahdi Soltanolkotabi, Ehsan Elhamifar, Emmanuel J. Candès
2012	J	`jnl`	Discussion: Latent variable graphical model selection via convex optimization CoRR Emmanuel J. Candès, Mahdi Soltanolkotabi
2011	J	`jnl`	A Geometric Analysis of Subspace Clustering with Outliers CoRR Mahdi Soltanolkotabi, Emmanuel J. Candès
2009	J	`jnl`	A Unified Approach to Sparse Signal Processing CoRR Farrokh Marvasti, Arash Amini, Farzan Haddadi, Mahdi Soltanolkotabi, Babak Hossein Khalaj, Akram Aldroubi, Sverre Holm, Saeid Sanei, Jonathon A. Chambers
2009	—	`conf`	A practical sparse channel estimation for current OFDM standards. ICT Mahdi Soltanolkotabi, Mojtaba Soltanalian, Arash Amini, Farokh Marvasti
2009	—	`conf`	Errorless Codes for Over-Loaded CDMA with Active User Detection. ICC Pedram Pad, Mahdi Soltanolkotabi, Saeed Hadikhanlou, Arash Enayati, Farrokh Marvasti
2009	J	`jnl`	OFDM Channel Estimation Based on Adaptive Thresholding for Sparse Signal Detection CoRR Mahdi Soltanolkotabi, Arash Amini, Farrokh Marvasti
2009	—	`conf`	OFDM channel estimation based on Adaptive Thresholding for Sparse Signal Detection. EUSIPCO Mahdi Soltanolkotabi, Arash Amini, Farokh Marvasti
2008	J	`jnl`	Errorless Codes for Over-loaded CDMA with Active User Detection CoRR Pedram Pad, Mahdi Soltanolkotabi, Saeed Hadikhanlou, Arash Enayati, Farrokh Marvasti
2008	—	`conf`	Salt and pepper noise removal for image signals. ICT Soheil Feizi, Sina Zahedpour, Mahdi Soltanolkotabi, Arash Amini, Farokh Marvasti