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2020 – today
- 2024
[j23]Vincent Roulet, Siddhartha S. Srinivasa, Maryam Fazel, Zaïd Harchaoui:
Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates. Open J. Math. Optim. 5: 1-63 (2024)- [c75]Reilly Raab, Ross Boczar, Maryam Fazel, Yang Liu:
Fair Participation via Sequential Policies. AAAI 2024: 14758-14766 - [c74]Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel:
Emergent specialization from participation dynamics and multi-learner retraining. AISTATS 2024: 343-351 - [c73]Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin G. Jamieson:
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity. AISTATS 2024: 1585-1593 - [c72]Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du:
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. ICLR 2024 - [i46]Qiwen Cui, Maryam Fazel, Simon S. Du:
Learning Optimal Tax Design in Nonatomic Congestion Games. CoRR abs/2402.07437 (2024) - [i45]Avinandan Bose, Simon Shaolei Du, Maryam Fazel:
Offline Multi-task Transfer RL with Representational Penalization. CoRR abs/2402.12570 (2024) - [i44]Weihang Xu, Maryam Fazel, Simon S. Du:
Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models. CoRR abs/2407.00490 (2024) - [i43]Zhihan Xiong, Maryam Fazel, Lin Xiao:
Dual Approximation Policy Optimization. CoRR abs/2410.01249 (2024) - [i42]Avinandan Bose, Zhihan Xiong, Aadirupa Saha, Simon Shaolei Du, Maryam Fazel:
Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration. CoRR abs/2412.10616 (2024) - 2023
- [j22]Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar:
Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies. Annu. Rev. Control. Robotics Auton. Syst. 6: 123-158 (2023) - [j21]Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff:
Multiplayer Performative Prediction: Learning in Decision-Dependent Games. J. Mach. Learn. Res. 24: 202:1-202:56 (2023) - [c71]Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak:
Stochastic Contextual Bandits with Long Horizon Rewards. AAAI 2023: 9525-9533 - [c70]Maryam Fazel, Omid Sadeghi:
Fast First-Order Methods for Monotone Strongly DR-Submodular Maximization. ACDA 2023: 169-179 - [c69]Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du:
Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement. ICLR 2023 - [c68]Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li:
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. L4DC 2023: 1008-1019 - [c67]Omid Sadeghi, Maryam Fazel:
No-Regret Online Prediction with Strategic Experts. NeurIPS 2023 - [i41]Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak:
Stochastic Contextual Bandits with Long Horizon Rewards. CoRR abs/2302.00814 (2023) - [i40]Omid Sadeghi, Maryam Fazel:
No-Regret Online Prediction with Strategic Experts. CoRR abs/2305.15331 (2023) - [i39]Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du:
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. CoRR abs/2306.07465 (2023) - [i38]Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin G. Jamieson:
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity. CoRR abs/2307.15154 (2023) - [i37]Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel:
Initializing Services in Interactive ML Systems for Diverse Users. CoRR abs/2312.11846 (2023) - 2022
- [c66]Mitas Ray, Lillian J. Ratliff, Dmitriy Drusvyatskiy, Maryam Fazel:
Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments. AAAI 2022: 8081-8088 - [c65]Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff:
Learning in Stochastic Monotone Games with Decision-Dependent Data. AISTATS 2022: 5891-5912 - [c64]Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff:
Improved Rates for Derivative Free Gradient Play in Strongly Monotone Games∗. CDC 2022: 3403-3408 - [c63]Yang Zheng, Yue Sun, Maryam Fazel, Na Li:
Escaping High-order Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control. CDC 2022: 5329-5334 - [c62]Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du:
Learning in Congestion Games with Bandit Feedback. NeurIPS 2022 - [c61]Zhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon S. Du:
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes. NeurIPS 2022 - [c60]Maryam Fazel, Yin Tat Lee, Swati Padmanabhan, Aaron Sidford:
Computing Lewis Weights to High Precision. SODA 2022: 2723-2742 - [i36]Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff:
Multiplayer Performative Prediction: Learning in Decision-Dependent Games. CoRR abs/2201.03398 (2022) - [i35]Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel:
Towards Sample-efficient Overparameterized Meta-learning. CoRR abs/2201.06142 (2022) - [i34]Lijun Ding, Dmitriy Drusvyatskiy, Maryam Fazel:
Flat minima generalize for low-rank matrix recovery. CoRR abs/2203.03756 (2022) - [i33]Yue Sun, Samet Oymak, Maryam Fazel:
System Identification via Nuclear Norm Regularization. CoRR abs/2203.16673 (2022) - [i32]Yang Zheng, Yue Sun, Maryam Fazel, Na Li:
Escaping High-order Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control. CoRR abs/2204.00912 (2022) - [i31]Mitas Ray, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff:
Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments. CoRR abs/2204.08281 (2022) - [i30]Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du:
Learning in Congestion Games with Bandit Feedback. CoRR abs/2206.01880 (2022) - [i29]Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel:
Multi-learner risk reduction under endogenous participation dynamics. CoRR abs/2206.02667 (2022) - [i28]Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes:
Interactive Combinatorial Bandits: Balancing Competitivity and Complementarity. CoRR abs/2207.03091 (2022) - [i27]Vincent Roulet, Siddhartha S. Srinivasa, Maryam Fazel, Zaïd Harchaoui:
Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates. CoRR abs/2207.06362 (2022) - [i26]Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar:
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies. CoRR abs/2210.04810 (2022) - [i25]Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du:
Offline congestion games: How feedback type affects data coverage requirement. CoRR abs/2210.13396 (2022) - [i24]Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li:
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. CoRR abs/2211.16291 (2022) - 2021
- [c59]Prasanna Sanjay Raut, Omid Sadeghi, Maryam Fazel:
Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation. AAAI 2021: 9395-9402 - [c58]Omid Sadeghi, Maryam Fazel:
Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints. AISTATS 2021: 2908-2916 - [c57]Yue Sun, Maryam Fazel:
Learning Optimal Controllers by Policy Gradient: Global Optimality via Convex Parameterization. CDC 2021: 4576-4581 - [c56]Halil Ibrahim Gulluk, Yue Sun, Samet Oymak, Maryam Fazel:
Sample Efficient Subspace-Based Representations for Nonlinear Meta-Learning. ICASSP 2021: 3685-3689 - [c55]Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin G. Jamieson:
Selective Sampling for Online Best-arm Identification. NeurIPS 2021: 11071-11082 - [c54]Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel:
Towards Sample-efficient Overparameterized Meta-learning. NeurIPS 2021: 28156-28168 - [i23]Halil Ibrahim Gulluk, Yue Sun, Samet Oymak, Maryam Fazel:
Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning. CoRR abs/2102.07206 (2021) - [i22]Omid Sadeghi, Prasanna Sanjay Raut, Maryam Fazel:
Improved Regret Bounds for Online Submodular Maximization. CoRR abs/2106.07836 (2021) - [i21]Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin Jamieson:
Selective Sampling for Online Best-arm Identification. CoRR abs/2110.14864 (2021) - [i20]Maryam Fazel, Yin Tat Lee, Swati Padmanabhan
, Aaron Sidford:
Computing Lewis Weights to High Precision. CoRR abs/2110.15563 (2021) - [i19]Omid Sadeghi, Maryam Fazel:
Faster First-Order Algorithms for Monotone Strongly DR-Submodular Maximization. CoRR abs/2111.07990 (2021) - 2020
- [j20]Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia:
Fair Packing and Covering on a Relative Scale. SIAM J. Optim. 30(4): 3284-3314 (2020) - [c53]Omid Sadeghi, Maryam Fazel:
Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints. AISTATS 2020: 4410-4419 - [c52]Vincent Roulet, Maryam Fazel, Siddhartha S. Srinivasa, Zaïd Harchaoui:
On the Convergence of the Iterative Linear Exponential Quadratic Gaussian Algorithm to Stationary Points. ACC 2020: 132-137 - [c51]Yue Sun, Samet Oymak, Maryam Fazel:
Finite Sample System Identification: Optimal Rates and the Role of Regularization. L4DC 2020: 16-25 - [c50]Omid Sadeghi, Prasanna Sanjay Raut, Maryam Fazel:
A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints. NeurIPS 2020 - [i18]Prasanna Sanjay Raut, Omid Sadeghi, Maryam Fazel:
Online DR-Submodular Maximization with Stochastic Cumulative Constraints. CoRR abs/2005.14708 (2020) - [i17]Mitas Ray, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel:
Function Design for Improved Competitive Ratio in Online Resource Allocation with Procurement Costs. CoRR abs/2012.12457 (2020)
2010 – 2019
- 2019
- [c49]Yue Sun, Nicolas Flammarion, Maryam Fazel:
Escaping from saddle points on Riemannian manifolds. NeurIPS 2019: 7274-7284 - [i16]Amin Jalali, Adel Javanmard, Maryam Fazel:
New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation. CoRR abs/1904.05338 (2019) - [i15]Yue Sun, Nicolas Flammarion, Maryam Fazel:
Escaping from saddle points on Riemannian manifolds. CoRR abs/1906.07355 (2019) - [i14]Omid Sadeghi, Reza Eghbali, Maryam Fazel:
Competitive Algorithms for Online Budget-Constrained Continuous DR-Submodular Problems. CoRR abs/1907.00312 (2019) - [i13]Omid Sadeghi, Maryam Fazel:
Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints. CoRR abs/1907.00316 (2019) - [i12]Jingjing Bu, Afshin Mesbahi, Maryam Fazel, Mehran Mesbahi:
LQR through the Lens of First Order Methods: Discrete-time Case. CoRR abs/1907.08921 (2019) - 2018
- [j19]Reza Eghbali, James Saunderson, Maryam Fazel:
Competitive online algorithms for resource allocation over the positive semidefinite cone. Math. Program. 170(1): 267-292 (2018) - [j18]Dmitriy Drusvyatskiy, Maryam Fazel, Scott Roy:
An Optimal First Order Method Based on Optimal Quadratic Averaging. SIAM J. Optim. 28(1): 251-271 (2018) - [c48]Jingjing Bu, Maryam Fazel, Mehran Mesbahi:
Accelerated Consensus with Linear Rate of Convergence. ACC 2018: 4931-4936 - [c47]Maryam Fazel, Rong Ge, Sham M. Kakade, Mehran Mesbahi:
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator. ICML 2018: 1466-1475 - [i11]Maryam Fazel, Rong Ge, Sham M. Kakade, Mehran Mesbahi:
Global Convergence of Policy Gradient Methods for Linearized Control Problems. CoRR abs/1801.05039 (2018) - [i10]Reza Eghbali, James Saunderson, Maryam Fazel:
Competitive Online Algorithms for Resource Allocation over the Positive Semidefinite Cone. CoRR abs/1802.01312 (2018) - [i9]Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia:
Width-Independence Beyond Linear Objectives: Distributed Fair Packing and Covering Algorithms. CoRR abs/1808.02517 (2018) - 2017
- [j17]Reza Eghbali, Maryam Fazel:
Decomposable norm minimization with proximal-gradient homotopy algorithm. Comput. Optim. Appl. 66(2): 345-381 (2017) - [j16]Amin Jalali, Maryam Fazel, Lin Xiao:
Variational Gram Functions: Convex Analysis and Optimization. SIAM J. Optim. 27(4): 2634-2661 (2017) - [c46]Amin Jalali, James Saunderson, Maryam Fazel, Babak Hassibi:
Error bounds for Bregman denoising and structured natural parameter estimation. ISIT 2017: 2273-2277 - 2016
- [c45]De Meng, Maryam Fazel, Mehran Mesbahi:
Online algorithms for network formation. CDC 2016: 135-140 - [c44]Reza Eghbali, Maryam Fazel, Mehran Mesbahi:
Worst case competitive analysis for online conic optimization. CDC 2016: 1945-1950 - [c43]Kishore Jaganathan, James Saunderson, Maryam Fazel, Yonina C. Eldar, Babak Hassibi:
Phaseless super-resolution using masks. ICASSP 2016: 4039-4043 - [c42]James Saunderson, Maryam Fazel, Babak Hassibi:
Simple algorithms and guarantees for low rank matrix completion over F2. ISIT 2016: 86-90 - [c41]Reza Eghbali, Maryam Fazel:
Designing smoothing functions for improved worst-case competitive ratio in online optimization. NIPS 2016: 3279-3287 - [c40]Amin Jalali, Qiyang Han, Ioana Dumitriu, Maryam Fazel:
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models. NIPS 2016: 4871-4879 - [i8]Reza Eghbali, Maryam Fazel:
Worst Case Competitive Analysis of Online Algorithms for Conic Optimization. CoRR abs/1611.00507 (2016) - 2015
- [j15]Brian Hutchinson, Mari Ostendorf, Maryam Fazel:
A Sparse Plus Low-Rank Exponential Language Model for Limited Resource Scenarios. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 494-504 (2015) - [j14]Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel:
Convex Structured Controller Design in Finite Horizon. IEEE Trans. Control. Netw. Syst. 2(1): 1-10 (2015) - [j13]Samet Oymak, Amin Jalali, Maryam Fazel, Yonina C. Eldar, Babak Hassibi:
Simultaneously Structured Models With Application to Sparse and Low-Rank Matrices. IEEE Trans. Inf. Theory 61(5): 2886-2908 (2015) - [c39]Maxim Grechkin, Maryam Fazel, Daniela M. Witten, Su-In Lee:
Pathway Graphical Lasso. AAAI 2015: 2617-2623 - [c38]De Meng, Maryam Fazel, Mehran Mesbahi:
Proximal Alternating Direction Method of Multipliers for distributed optimization on weighted graphs. CDC 2015: 1396-1401 - [i7]Amin Jalali, Lin Xiao, Maryam Fazel:
Variational Gram Functions: Convex Analysis and Optimization. CoRR abs/1507.04734 (2015) - 2014
- [j12]Karthik Mohan, Palma London, Maryam Fazel, Daniela M. Witten, Su-In Lee:
Node-based learning of multiple Gaussian graphical models. J. Mach. Learn. Res. 15(1): 445-488 (2014) - [j11]Kean Ming Tan, Palma London, Karthik Mohan, Su-In Lee, Maryam Fazel, Daniela M. Witten:
Learning graphical models with hubs. J. Mach. Learn. Res. 15(1): 3297-3331 (2014) - [c37]Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov:
Convex risk averse control design. CDC 2014: 4020-4025 - [c36]Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov:
Universal Convexification via Risk-Aversion. UAI 2014: 162-171 - [i6]Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov:
Universal Convexification via Risk-Aversion. CoRR abs/1406.0554 (2014) - [i5]Reza Eghbali, Jon Swenson, Maryam Fazel:
Exponentiated Subgradient Algorithm for Online Optimization under the Random Permutation Model. CoRR abs/1410.7171 (2014) - 2013
- [j10]Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel:
Similarity-based clustering by left-stochastic matrix factorization. J. Mach. Learn. Res. 14(1): 1715-1746 (2013) - [j9]Maryam Fazel, Ting Kei Pong, Defeng Sun, Paul Tseng:
Hankel Matrix Rank Minimization with Applications to System Identification and Realization. SIAM J. Matrix Anal. Appl. 34(3): 946-977 (2013) - [j8]Fatemeh Fazel, Maryam Fazel, Milica Stojanovic:
Random Access Compressed Sensing over Fading and Noisy Communication Channels. IEEE Trans. Wirel. Commun. 12(5): 2114-2125 (2013) - [c35]Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel:
Convex control design via covariance minimization. Allerton 2013: 93-99 - [c34]Krishnamurthy Dvijotham, Evangelos A. Theodorou, Emanuel Todorov, Maryam Fazel:
Convexity of optimal linear controller design. CDC 2013: 2477-2482 - [c33]Samet Oymak, Amin Jalali, Maryam Fazel, Babak Hassibi:
Noisy estimation of simultaneously structured models: Limitations of convex relaxation. CDC 2013: 6019-6024 - [c32]Amin Jalali, Maryam Fazel:
A convex method for learning d-valued models. GlobalSIP 2013: 1123-1126 - [c31]Brian Hutchinson, Mari Ostendorf, Maryam Fazel:
Exceptions in language as learned by the multi-factor sparse plus low-rank language model. ICASSP 2013: 8580-8584 - [i4]Karthik Mohan, Palma London, Maryam Fazel, Daniela M. Witten, Su-In Lee:
Node-Based Learning of Multiple Gaussian Graphical Models. CoRR abs/1303.5145 (2013) - [i3]Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel:
Convex Structured Controller Design. CoRR abs/1309.7731 (2013) - 2012
- [j7]Karthik Mohan, Maryam Fazel:
Iterative reweighted algorithms for matrix rank minimization. J. Mach. Learn. Res. 13: 3441-3473 (2012) - [j6]Fatemeh Fazel, Maryam Fazel, Milica Stojanovic:
Compressed sensing in random access networks with applications to underwater monitoring. Phys. Commun. 5(2): 148-160 (2012) - [c30]Marzieh Nabi-Abdolyousefi, Maryam Fazel, Mehran Mesbahi:
A graph realization approach to network identification. CDC 2012: 4642-4647 - [c29]Brian Hutchinson, Mari Ostendorf, Maryam Fazel:
A Sparse Plus Low Rank Maximum Entropy Language Model. INTERSPEECH 2012: 1676-1679 - [c28]Shian-Ru Ke, Jenq-Neng Hwang, Maryam Fazel, Shen-Zheng Wang, Hung-I Pai:
Constrained multiple kernel tracking for human limbs. ISCAS 2012: 1847-1850 - [c27]Fatemeh Fazel, Maryam Fazel, Milica Stojanovic:
Random access compressed sensing over fading and noisy communication channels. ISIT 2012: 1613-1617 - [c26]Fatemeh Fazel, Maryam Fazel, Milica Stojanovic:
Random access sensor networks: Field reconstruction from incomplete data. ITA 2012: 300-305 - [c25]Karthik Mohan, Michael Jae-Yoon Chung, Seungyeop Han, Daniela M. Witten, Su-In Lee, Maryam Fazel:
Structured Learning of Gaussian Graphical Models. NIPS 2012: 629-637 - [i2]Samet Oymak, Amin Jalali, Maryam Fazel, Yonina C. Eldar, Babak Hassibi:
Simultaneously Structured Models with Application to Sparse and Low-rank Matrices. CoRR abs/1212.3753 (2012) - 2011
- [j5]Fatemeh Fazel, Maryam Fazel, Milica Stojanovic:
Random Access Compressed Sensing for Energy-Efficient Underwater Sensor Networks. IEEE J. Sel. Areas Commun. 29(8): 1660-1670 (2011) - [j4]Brian Hutchinson, Mari Ostendorf, Maryam Fazel:
Low Rank Language Models for Small Training Sets. IEEE Signal Process. Lett. 18(9): 489-492 (2011) - [c24]Fatemeh Fazel, Maryam Fazel, Milica Stojanovic:
Impact of fading on random access compressed sensing. ACSCC 2011: 408-412 - [c23]Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel:
Clustering by Left-Stochastic Matrix Factorization. ICML 2011: 761-768 - [c22]Samet Oymak, Karthik Mohan, Maryam Fazel, Babak Hassibi:
A simplified approach to recovery conditions for low rank matrices. ISIT 2011: 2318-2322 - [c21]Fatemeh Fazel, Maryam Fazel, Milica Stojanovic:
Design of a random access network for compressed sensing. ITA 2011: 103-111 - [i1]Samet Oymak, Karthik Mohan, Maryam Fazel, Babak Hassibi:
A Simplified Approach to Recovery Conditions for Low Rank Matrices. CoRR abs/1103.1178 (2011) - 2010
- [j3]Benjamin Recht, Maryam Fazel, Pablo A. Parrilo:
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization. SIAM Rev. 52(3): 471-501 (2010) - [c20]Karthik Mohan, Maryam Fazel:
Iterative reweighted least squares for matrix rank minimization. Allerton 2010: 653-661 - [c19]Fatemeh Fazel, Maryam Fazel, Milica Stojanovic:
Random access compressed sensing in underwater sensor networks. Allerton 2010: 768-774 - [c18]Karthik Mohan, Maryam Fazel:
Reweighted nuclear norm minimization with application to system identification. ACC 2010: 2953-2959 - [c17]Daniel Georgiev, Maryam Fazel, Eric Klavins:
Model discrimination of chemical reaction networks by linearization. ACC 2010: 5916-5922 - [c16]Krishnamurthy Dvijotham, Maryam Fazel:
A nullspace analysis of the nuclear norm heuristic for rank minimization. ICASSP 2010: 3586-3589 - [c15]Karthik Mohan, Maryam Fazel:
New Restricted Isometry results for noisy low-rank recovery. ISIT 2010: 1573-1577 - [c14]Azam Bastanfard, Maryam Fazel, Alireza Abdi Kelishami, Mohammad Aghaahmadi:
The Persian Linguistic Based Audio-Visual Data Corpus, AVA II, Considering Coarticulation. MMM 2010: 284-294 - [c13]Azam Bastanfard, Nima Attaran Rezaei, Mahyar Mottaghizadeh, Maryam Fazel:
A Novel Multimedia Educational Speech Therapy System for Hearing Impaired Children. PCM (2) 2010: 705-715
2000 – 2009
- 2009
- [c12]Azam Bastanfard, Mohammad Aghaahmadi, Alireza Abdi Kelishami, Maryam Fazel, Maedeh Moghadam:
Persian Viseme Classification for Developing Visual Speech Training Application. PCM 2009: 1080-1085 - [c11]Azam Bastanfard, Maryam Fazel, Alireza Abdi Kelishami, Mohammad Aghaahmadi:
A comprehensive audio-visual corpus for teaching sound Persian phoneme articulation. SMC 2009: 169-174 - 2008
- [c10]Maryam Fazel, Emmanuel J. Candès, Ben Recht, Pablo A. Parrilo:
Compressed sensing and robust recovery of low rank matrices. ACSCC 2008: 1043-1047 - 2007
- [j2]Miguel Sousa Lobo, Maryam Fazel, Stephen P. Boyd:
Portfolio optimization with linear and fixed transaction costs. Ann. Oper. Res. 152(1): 341-365 (2007) - 2006
- [c9]Hana El-Samad, Maryam Fazel, Xin Liu, Antonis Papachristodoulou, Stephen Prajna:
Stochastic reachability analysis in complex biological networks. ACC 2006: 1-6 - [c8]Dennice F. Gayme, Maryam Fazel, John C. Doyle:
Complexity in Automation of SOS Proofs: An Illustrative Example. CDC 2006: 5851-5856 - [c7]Maryam Fazel, Dennice Maynard Gayme, Mung Chiang:
Transient Analysis for Wireless Power Control. GLOBECOM 2006 - 2005
- [j1]Masoud Sharif, Cedric Florens, Maryam Fazel, Babak Hassibi:
Amplitude and Sign Adjustment for Peak-to-Average-Power Reduction. IEEE Trans. Commun. 53(8): 1243-1247 (2005) - [c6]Maryam Fazel, Mung Chiang:
Network Utility Maximization With Nonconcave Utilities Using Sum-of-Squares Method. CDC/ECC 2005: 1867-1874 - [c5]Mung Chiang, Jang-Won Lee, A. Robert Calderbank, Daniel Pérez Palomar, Maryam Fazel:
Network utility maximization with nonconcave, coupled, and reliability-based uilities. SIGMETRICS 2005: 277 - 2004
- [c4]Maryam Fazel, Haitham A. Hindi, Stephen P. Boyd:
Rank minimization and applications in system theory. ACC 2004: 3273-3278 - [c3]Masoud Sharif, Cedric Florens, Maryam Fazel, Babak Hassibi:
Peak to average power reduction using amplitude and sign adjustment. ICC 2004: 837-841 - 2003
- [c2]Maryam Fazel, Haitham A. Hindi, Stephen P. Boyd:
Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices. ACC 2003: 2156-2162 - 2001
- [c1]Maryam Fazel, Haitham A. Hindi, Stephen P. Boyd:
A rank minimization heuristic with application to minimum order system approximation. ACC 2001: 4734-4739
Coauthor Index
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to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-22 20:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
