Mahdi Soltanolkotabi

发表

Experimental robustness of Fourier Ptychography phase retrieval algorithms

Laura Waller, Jonathan Dong, Lei Tian, 2015, Optics express.

GENERALIZATION GUARANTEES FOR NEURAL NETS VIA HARNESSING THE LOW-RANKNESS OF JACOBIAN

Mahdi Soltanolkotabi, Zalan Fabian, Samet Oymak, 2019 .

Low-rank Solutions of Linear Matrix Equations via Procrustes Flow

Max Simchowitz, Benjamin Recht, Mahdi Soltanolkotabi, 2015, ICML.

Theoretical Insights Into the Optimization Landscape of Over-Parameterized Shallow Neural Networks

Adel Javanmard, Mahdi Soltanolkotabi, Jason D. Lee, 2017, IEEE Transactions on Information Theory.

A practical sparse channel estimation for current OFDM standards

Farrokh Marvasti, Arash Amini, Mahdi Soltanolkotabi, 2009, 2009 International Conference on Telecommunications.

3D Phase Retrieval at Nano-Scale via Accelerated Wirtinger Flow

Mahdi Soltanolkotabi, Zalan Fabian, Justin Haldar, 2020, 2020 28th European Signal Processing Conference (EUSIPCO).

Accelerated Wirtinger Flow for Multiplexed Fourier Ptychographic Microscopy

Laura Waller, Mahdi Soltanolkotabi, Emrah Bostan, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding pdf

Amir Salman Avestimehr, Mahdi Soltanolkotabi, Songze Li, 2018, ArXiv.

Structured Signal Recovery From Quadratic Measurements: Breaking Sample Complexity Barriers via Nonconvex Optimization

Mahdi Soltanolkotabi, M. Soltanolkotabi, 2017, IEEE Transactions on Information Theory.

Sharp Time–Data Tradeoffs for Linear Inverse Problems

Benjamin Recht, Samet Oymak, Mahdi Soltanolkotabi, 2015, IEEE Transactions on Information Theory.

Generalization, Adaptation and Low-Rank Representation in Neural Networks

Mahdi Soltanolkotabi, Zalan Fabian, Samet Oymak, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

One Dimensional Tdm Signal Reconstruction from Its Fourier Transform Phase or Magnitude

Farrokh Marvasti, Arash Amini, Mahdi Soltanolkotabi, 2008 .

Generalized Line Spectral Estimation via Convex Optimization

Reinhard Heckel, Mahdi Soltanolkotabi, M. Soltanolkotabi, 2016, IEEE Transactions on Information Theory.

Convergence and Sample Complexity of Gradient Methods for the Model-Free Linear–Quadratic Regulator Problem pdf

Mahdi Soltanolkotabi, Mihailo R. Jovanovi'c, Armin Zare, 2019, IEEE Transactions on Automatic Control.

Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks pdf

Samet Oymak, Mahdi Soltanolkotabi, Mingchen Li, 2019, AISTATS.

Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation

Reinhard Heckel, Mahdi Soltanolkotabi, M. Soltanolkotabi, 2020, ICML.

Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? pdf

Samet Oymak, Mahdi Soltanolkotabi, M. Soltanolkotabi, 2018, ICML.

Discussion: Latent variable graphical model selection via convex optimization pdf

Emmanuel J. Candès, Mahdi Soltanolkotabi, E. Candès, 2012, ArXiv.

Learning the model-free linear quadratic regulator via random search

Mihailo R. Jovanovic, Mahdi Soltanolkotabi, Hesameddin Mohammadi, 2020, L4DC.

Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian pdf

Samet Oymak, Mahdi Soltanolkotabi, Zalan Fabian, 2019, ArXiv.

Precise Tradeoffs in Adversarial Training for Linear Regression

Adel Javanmard, Mahdi Soltanolkotabi, Hamed Hassani, 2020, COLT.

Phase Retrieval from masked Fourier transforms pdf

Xiaodong Li, Emmanuel J. Candès, Mahdi Soltanolkotabi, 2013, ArXiv.

Near-Optimal Straggler Mitigation for Distributed Gradient Methods

Amir Salman Avestimehr, Mahdi Soltanolkotabi, Songze Li, 2017, 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Approximation Schemes for ReLU Regression

Ilias Diakonikolas, Mahdi Soltanolkotabi, Adam R. Klivans, 2020, COLT.

Robust Subspace Clustering pdf

Emmanuel J. Candès, Mahdi Soltanolkotabi, Ehsan Elhamifar, 2013, ArXiv.

Fitting ReLUs via SGD and Quantized SGD

Amir Salman Avestimehr, Mahdi Soltanolkotabi, Seyed Mohammadreza Mousavi Kalan, 2019, 2019 IEEE International Symposium on Information Theory (ISIT).

Learning ReLUs via Gradient Descent

Mahdi Soltanolkotabi, M. Soltanolkotabi, 2017, NIPS.

Gradient Methods for Submodular Maximization

Amin Karbasi, Mahdi Soltanolkotabi, S. Hamed Hassani, 2017, NIPS.

Isometric sketching of any set via the Restricted Isometry Property pdf

Benjamin Recht, Samet Oymak, Mahdi Soltanolkotabi, 2015, ArXiv.

Fundamental Resource Trade-offs for Encoded Distributed Optimization pdf

Amir Salman Avestimehr, Mahdi Soltanolkotabi, Seyed Mohammadreza Mousavi Kalan, 2018, Information and Inference: A Journal of the IMA.

Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View pdf

Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi, 2020, NeurIPS.

3D Phaseless Imaging at Nano-scale: Challenges and Possible Solutions

Mahdi Soltanolkotabi, M. Soltanolkotabi, 2019, 2019 13th International conference on Sampling Theory and Applications (SampTA).

Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks pdf

A. Salman Avestimehr, Mahdi Soltanolkotabi, Zalan Fabian, 2020, NeurIPS.

Super-Resolution Radar pdf

Reinhard Heckel, Veniamin I. Morgenshtern, Mahdi Soltanolkotabi, 2014, ArXiv.

Precise Statistical Analysis of Classification Accuracies for Adversarial Training pdf

Adel Javanmard, Mahdi Soltanolkotabi, 2020, ArXiv.

OFDM channel estimation based on Adaptive Thresholding for Sparse Signal Detection

Farrokh Marvasti, Arash Amini, Mahdi Soltanolkotabi, 2009, 2009 17th European Signal Processing Conference.

Phase Retrieval from Coded Diffraction Patterns

Xiaodong Li, Mahdi Soltanolkotabi, Emmanuel Candes, 2013, 1310.3240.

Salt and pepper noise removal for image signals

Farrokh Marvasti, Arash Amini, Mahdi Soltanolkotabi, 2008, 2008 International Conference on Telecommunications.

Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators pdf

Reinhard Heckel, Mahdi Soltanolkotabi, 2020, ICLR.

Toward Moderate Overparameterization: Global Convergence Guarantees for Training Shallow Neural Networks

Samet Oymak, Mahdi Soltanolkotabi, M. Soltanolkotabi, 2019, IEEE Journal on Selected Areas in Information Theory.

End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition pdf

Samet Oymak, Mahdi Soltanolkotabi, M. Soltanolkotabi, 2018, ArXiv.

Errorless Codes for Over-Loaded CDMA with Active User Detection

Pedram Pad, Farrokh Marvasti, Mahdi Soltanolkotabi, 2009, 2009 IEEE International Conference on Communications.

Accelerated Wirtinger Flow: A fast algorithm for ptychography

Justin P. Haldar, Rui Xu, Richard M. Leahy, 2018, 1806.05546.

Global exponential convergence of gradient methods over the nonconvex landscape of the linear quadratic regulator

Mahdi Soltanolkotabi, Hesameddin Mohammadi, Mihailo R. Jovanović, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

High-Dimensional Robust Mean Estimation via Gradient Descent pdf

Yu Cheng, Ilias Diakonikolas, Mahdi Soltanolkotabi, 2020, ICML.

Phase Retrieval via Wirtinger Flow: Theory and Algorithms

Xiaodong Li, Emmanuel J. Candès, Mahdi Soltanolkotabi, 2014, IEEE Transactions on Information Theory.

A unified approach to sparse signal processing

Babak Hossein Khalaj, Farrokh Marvasti, Akram Aldroubi, 2009, EURASIP Journal on Advances in Signal Processing.

A Geometric Analysis of Subspace Clustering with Outliers pdf

Emmanuel J. Candès, Mahdi Soltanolkotabi, E. Candès, 2011, ArXiv.

Fast and Reliable Parameter Estimation from Nonlinear Observations

Samet Oymak, Mahdi Soltanolkotabi, M. Soltanolkotabi, 2016, SIAM J. Optim..

Random search for learning the linear quadratic regulator

Mahdi Soltanolkotabi, Hesameddin Mohammadi, Mihailo R. Jovanović, 2020, 2020 American Control Conference (ACC).

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks pdf

Zhenheng Tang, Xiaowen Chu, Mahdi Soltanolkotabi, 2021, ArXiv.

A Field Guide to Federated Optimization pdf

Suhas Diggavi, Ameet Talwalkar, Tara Javidi, 2021, ArXiv.

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models

Amir Salman Avestimehr, Mahdi Soltanolkotabi, Chaoyang He, 2021, ICML.

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr, 2021 .

Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction pdf

Mahdi Soltanolkotabi, Dominik Stöger, 2021, ArXiv.

Outlier-Robust Sparse Estimation via Non-Convex Optimization pdf

Daniel M. Kane, Ilias Diakonikolas, Mahdi Soltanolkotabi, 2021, ArXiv.

Data augmentation for deep learning based accelerated MRI reconstruction with limited data

Reinhard Heckel, Mahdi Soltanolkotabi, Zalan Fabian, 2021, ICML.

Learning a deep convolutional neural network via tensor decomposition

Samet Oymak, Mahdi Soltanolkotabi, M. Soltanolkotabi, 2021 .

Understanding Overparameterization in Generative Adversarial Networks pdf

Mahdi Soltanolkotabi, Soheil Feizi, Mucong Ding, 2021, ICLR.

Understanding Over-parameterization in Generative Adversarial Networks

Mahdi Soltanolkotabi, Soheil Feizi, Mucong Ding, 2021, ICLR.

PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers pdf

Shen Li, Mahdi Soltanolkotabi, Chaoyang He, 2021, ArXiv.

Generalization Guarantees for Neural Architecture Search with Train-Validation Split

Samet Oymak, Mahdi Soltanolkotabi, Mingchen Li, 2021, ICML.

SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision pdf

Amir Salman Avestimehr, Mahdi Soltanolkotabi, Chaoyang He, 2021, ArXiv.

On the Linear Convergence of Random Search for Discrete-Time LQR

Mahdi Soltanolkotabi, Hesameddin Mohammadi, Mihailo R. Jovanović, 2021, IEEE Control Systems Letters.

FedNLP: A Research Platform for Federated Learning in Natural Language Processing pdf

Xiang Ren, Mahdi Soltanolkotabi, Bill Yuchen Lin, 2021, ArXiv.

Generalized line spectral estimation for radar and localization

Mahdi Soltanolkotabi, Reinhard Hecket, 2016, 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa).

From subspace clustering to full-rank matrix completion

Mahdi Soltanolkotabi, Emmanuel Candes, Lester Mackey, .

Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem pdf

Armin Zare, Mahdi Soltanolkotabi, Hesameddin Mohammadi, 2019, ArXiv.