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ORCIDAsuman E. Ozdaglar
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- affiliation: MIT, Cambridge, USA
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2020 – today
- 2022
[j82]Mohamed Mostagir
, Asuman E. Ozdaglar, James Siderius:
When Is Society Susceptible to Manipulation? Manag. Sci. 68(10): 7153-7175 (2022)- [j81]Murat A. Erdogdu, Asuman E. Ozdaglar, Pablo A. Parrilo, Nuri Denizcan Vanli:
Convergence rate of block-coordinate maximization Burer-Monteiro method for solving large SDPs. Math. Program. 195(1): 243-281 (2022) - [j80]Muhammed O. Sayin, Francesca Parise, Asuman E. Ozdaglar:
Fictitious Play in Zero-Sum Stochastic Games. SIAM J. Control. Optim. 60(4): 2095-2114 (2022) - [j79]Hoi-To Wai, Yonina C. Eldar, Asuman E. Ozdaglar, Anna Scaglione:
Community Inference From Partially Observed Graph Signals: Algorithms and Analysis. IEEE Trans. Signal Process. 70: 2136-2151 (2022) - [c94]Muhammed O. Sayin, Kaiqing Zhang, Asuman E. Ozdaglar:
Fictitious Play in Markov Games with Single Controller. EC 2022: 919-936 - [c93]Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar:
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms. EC 2022: 1141 - [i73]Alireza Fallah, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar:
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms. CoRR abs/2201.03968 (2022) - [i72]Muhammed O. Sayin, Kaiqing Zhang, Asuman E. Ozdaglar:
Fictitious Play in Markov Games with Single Controller. CoRR abs/2205.11389 (2022) - [i71]Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang:
What is a Good Metric to Study Generalization of Minimax Learners? CoRR abs/2206.04502 (2022) - [i70]Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar:
Convergence and Stability of Coupled Belief-Strategy Learning Dynamics in Continuous Games. CoRR abs/2206.05637 (2022) - [i69]Mingyang Liu, Asuman E. Ozdaglar, Tiancheng Yu, Kaiqing Zhang:
The Power of Regularization in Solving Extensive-Form Games. CoRR abs/2206.09495 (2022) - [i68]Sarath Pattathil, Kaiqing Zhang, Asuman E. Ozdaglar:
Symmetric (Optimistic) Natural Policy Gradient for Multi-agent Learning with Parameter Convergence. CoRR abs/2210.12812 (2022) - [i67]Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang:
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation. CoRR abs/2212.13861 (2022) - 2021
- [j78]Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar:
Value of Information in Bayesian Routing Games. Oper. Res. 69(1): 148-163 (2021) - [j77]Mert Gürbüzbalaban, Asuman E. Ozdaglar, Pablo A. Parrilo:
Why random reshuffling beats stochastic gradient descent. Math. Program. 186(1): 49-84 (2021) - [c92]Leonardo Cianfanelli, Francesca Parise, Daron Acemoglu, Giacomo Como, Asuman E. Ozdaglar:
Lockdown interventions in SIR models: Is the reproduction number the right control variable? CDC 2021: 4254-4259 - [c91]Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman E. Ozdaglar:
A Wasserstein Minimax Framework for Mixed Linear Regression. ICML 2021: 2697-2706 - [c90]Farzan Farnia, Asuman E. Ozdaglar:
Train simultaneously, generalize better: Stability of gradient-based minimax learners. ICML 2021: 3174-3185 - [c89]Alireza Fallah, Kristian Georgiev, Aryan Mokhtari, Asuman E. Ozdaglar:
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning. NeurIPS 2021: 3096-3107 - [c88]Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks. NeurIPS 2021: 5469-5480 - [c87]Muhammed O. Sayin, Kaiqing Zhang, David S. Leslie, Tamer Basar, Asuman E. Ozdaglar:
Decentralized Q-learning in Zero-sum Markov Games. NeurIPS 2021: 18320-18334 - [i66]Daron Acemoglu, Alireza Fallah, A. Giometto, D. Huttenlocher, Asuman E. Ozdaglar, Francesca Parise, Sarath Pattathil:
Optimal adaptive testing for epidemic control: combining molecular and serology tests. CoRR abs/2101.00773 (2021) - [i65]Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks. CoRR abs/2102.03832 (2021) - [i64]Leonardo Cianfanelli, Giacomo Como, Asuman E. Ozdaglar, Francesca Parise:
Optimal intervention in traffic networks. CoRR abs/2102.08441 (2021) - [i63]Muhammed O. Sayin, Kaiqing Zhang, David S. Leslie, Tamer Basar, Asuman E. Ozdaglar:
Decentralized Q-Learning in Zero-sum Markov Games. CoRR abs/2106.02748 (2021) - [i62]Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman E. Ozdaglar:
A Wasserstein Minimax Framework for Mixed Linear Regression. CoRR abs/2106.07537 (2021) - [i61]Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar:
Multi-agent Bayesian Learning with Best Response Dynamics: Convergence and Stability. CoRR abs/2109.00719 (2021) - [i60]Asuman E. Ozdaglar, Muhammed O. Sayin, Kaiqing Zhang:
Independent Learning in Stochastic Games. CoRR abs/2111.11743 (2021) - 2020
- [j76]Mert Gürbüzbalaban, Asuman E. Ozdaglar, Nuri Denizcan Vanli, Stephen J. Wright:
Randomness and permutations in coordinate descent methods. Math. Program. 181(2): 349-376 (2020) - [j75]Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar:
Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions. SIAM J. Optim. 30(1): 717-751 (2020) - [j74]Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil:
Convergence Rate of 풪(1/k) for Optimistic Gradient and Extragradient Methods in Smooth Convex-Concave Saddle Point Problems. SIAM J. Optim. 30(4): 3230-3251 (2020) - [j73]Asuman E. Ozdaglar, Devavrat Shah, Christina Lee Yu:
Asynchronous Approximation of a Single Component of the Solution to a Linear System. IEEE Trans. Netw. Sci. Eng. 7(3): 975-986 (2020) - [j72]Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie:
Blind Community Detection From Low-Rank Excitations of a Graph Filter. IEEE Trans. Signal Process. 68: 436-451 (2020) - [c86]Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms. AISTATS 2020: 1082-1092 - [c85]Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil:
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach. AISTATS 2020: 1497-1507 - [c84]Alireza Fallah, Asuman E. Ozdaglar, Sarath Pattathil:
An Optimal Multistage Stochastic Gradient Method for Minimax Problems. CDC 2020: 3573-3579 - [c83]Noah Golowich, Sarath Pattathil, Constantinos Daskalakis, Asuman E. Ozdaglar:
Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems. COLT 2020: 1758-1784 - [c82]Farzan Farnia, Asuman E. Ozdaglar:
Do GANs always have Nash equilibria? ICML 2020: 3029-3039 - [c81]Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar:
Bayesian Learning with Adaptive Load Allocation Strategies. L4DC 2020: 561-570 - [c80]Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach. NeurIPS 2020 - [i59]Emily Meigs, Francesca Parise, Asuman E. Ozdaglar, Daron Acemoglu:
Optimal dynamic information provision in traffic routing. CoRR abs/2001.03232 (2020) - [i58]Noah Golowich, Sarath Pattathil, Constantinos Daskalakis, Asuman E. Ozdaglar:
Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems. CoRR abs/2002.00057 (2020) - [i57]Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
Provably Convergent Policy Gradient Methods for Model-Agnostic Meta-Reinforcement Learning. CoRR abs/2002.05135 (2020) - [i56]Alireza Fallah, Asuman E. Ozdaglar, Sarath Pattathil:
An Optimal Multistage Stochastic Gradient Method for Minimax Problems. CoRR abs/2002.05683 (2020) - [i55]Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
Personalized Federated Learning: A Meta-Learning Approach. CoRR abs/2002.07948 (2020) - [i54]Farzan Farnia, Asuman E. Ozdaglar:
GANs May Have No Nash Equilibria. CoRR abs/2002.09124 (2020) - [i53]Muhammed O. Sayin, Francesca Parise, Asuman E. Ozdaglar:
Fictitious play in zero-sum stochastic games. CoRR abs/2010.04223 (2020) - [i52]Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar:
Multi-agent Bayesian Learning with Adaptive Strategies: Convergence and Stability. CoRR abs/2010.09128 (2020) - [i51]Farzan Farnia, Asuman E. Ozdaglar:
Train simultaneously, generalize better: Stability of gradient-based minimax learners. CoRR abs/2010.12561 (2020)
2010 – 2019
- 2019
- [j71]Francesca Parise, Asuman E. Ozdaglar:
A variational inequality framework for network games: Existence, uniqueness, convergence and sensitivity analysis. Games Econ. Behav. 114: 47-82 (2019) - [j70]Mert Gürbüzbalaban, Asuman E. Ozdaglar, Pablo A. Parrilo:
Convergence Rate of Incremental Gradient and Incremental Newton Methods. SIAM J. Optim. 29(4): 2542-2565 (2019) - [j69]Elie M. Adam, Munther A. Dahleh, Asuman E. Ozdaglar:
Interconnection and Memory in Linear Time-Invariant Systems. IEEE Trans. Autom. Control. 64(5): 1890-1904 (2019) - [c79]Aryan Mokhtari, Asuman E. Ozdaglar, Ali Jadbabaie:
Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods. AISTATS 2019: 2485-2494 - [c78]Emily Meigs, Francesca Parise, Asuman E. Ozdaglar:
Learning in repeated stochastic network aggregative games. CDC 2019: 6918-6923 - [c77]Francesca Parise, Asuman E. Ozdaglar:
Graphon Games. EC 2019: 457-458 - [c76]Hoi-To Wai, Yonina C. Eldar, Asuman E. Ozdaglar, Anna Scaglione:
Community Inference from Graph Signals with Hidden Nodes. ICASSP 2019: 4948-4952 - [c75]Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar:
A Universally Optimal Multistage Accelerated Stochastic Gradient Method. NeurIPS 2019: 8523-8534 - [i50]Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar:
A Universally Optimal Multistage Accelerated Stochastic Gradient Method. CoRR abs/1901.08022 (2019) - [i49]Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil:
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach. CoRR abs/1901.08511 (2019) - [i48]Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil:
Proximal Point Approximations Achieving a Convergence Rate of O(1/k) for Smooth Convex-Concave Saddle Point Problems: Optimistic Gradient and Extra-gradient Methods. CoRR abs/1906.01115 (2019) - [i47]Alireza Fallah, Aryan Mokhtari, Asuman E. Ozdaglar:
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms. CoRR abs/1908.10400 (2019) - [i46]Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar, Umut Simsekli, Lingjiong Zhu:
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks. CoRR abs/1910.08701 (2019) - [i45]Weijie Liu, Aryan Mokhtari, Asuman E. Ozdaglar, Sarath Pattathil, Zebang Shen, Nenggan Zheng:
A Decentralized Proximal Point-type Method for Saddle Point Problems. CoRR abs/1910.14380 (2019) - 2018
- [j68]Daron Acemoglu, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar:
Informational Braess' Paradox: The Effect of Information on Traffic Congestion. Oper. Res. 66(4): 893-917 (2018) - [j67]N. Denizcan Vanli, Mert Gürbüzbalaban, Asuman E. Ozdaglar:
Global Convergence Rate of Proximal Incremental Aggregated Gradient Methods. SIAM J. Optim. 28(2): 1282-1300 (2018) - [j66]Ozan Candogan, Asuman E. Ozdaglar, Pablo A. Parrilo:
Pricing Equilibria and Graphical Valuations. ACM Trans. Economics and Comput. 6(1): 2:1-2:26 (2018) - [c74]Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie:
Community Detection from Low-Rank Excitations of a Graph Filter. ICASSP 2018: 4044-4048 - [c73]Hoi-To Wai, Asuman E. Ozdaglar, Anna Scaglione:
Identifying Susceptible Agents in Time Varying Opinion Dynamics Through Compressive Measurements. ICASSP 2018: 4114-4118 - [c72]Aryan Mokhtari, Asuman E. Ozdaglar, Ali Jadbabaie:
Escaping Saddle Points in Constrained Optimization. NeurIPS 2018: 3633-3643 - [i44]Francesca Parise, Asuman E. Ozdaglar:
Graphon games. CoRR abs/1802.00080 (2018) - [i43]Necdet Serhat Aybat, Alireza Fallah, Mert Gürbüzbalaban, Asuman E. Ozdaglar:
Robust Accelerated Gradient Methods for Smooth Strongly Convex Functions. CoRR abs/1805.10579 (2018) - [i42]Murat A. Erdogdu, Asuman E. Ozdaglar, Pablo A. Parrilo, Nuri Denizcan Vanli:
Convergence Rate of Block-Coordinate Maximization Burer-Monteiro Method for Solving Large SDPs. CoRR abs/1807.04428 (2018) - [i41]Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar:
Value of Information Systems in Routing Games. CoRR abs/1808.10590 (2018) - [i40]Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie:
Blind Community Detection from Low-rank Excitations of a Graph Filter. CoRR abs/1809.01485 (2018) - [i39]Aryan Mokhtari, Asuman E. Ozdaglar, Ali Jadbabaie:
Escaping Saddle Points in Constrained Optimization. CoRR abs/1809.02162 (2018) - 2017
- [j65]Daron Acemoglu, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar:
Privacy-constrained network formation. Games Econ. Behav. 105: 255-275 (2017) - [j64]Elie M. Adam, Munther A. Dahleh, Asuman E. Ozdaglar:
Towards an Algebra for Cascade Effects. Log. Methods Comput. Sci. 13(3) (2017) - [j63]Kimon Drakopoulos, Asuman E. Ozdaglar, John N. Tsitsiklis:
When Is a Network Epidemic Hard to Eliminate? Math. Oper. Res. 42(1): 1-14 (2017) - [j62]Mert Gürbüzbalaban, Asuman E. Ozdaglar, Pablo A. Parrilo:
On the Convergence Rate of Incremental Aggregated Gradient Algorithms. SIAM J. Optim. 27(2): 1035-1048 (2017) - [j61]Ali Makhdoumi, Asuman E. Ozdaglar:
Convergence Rate of Distributed ADMM Over Networks. IEEE Trans. Autom. Control. 62(10): 5082-5095 (2017) - [c71]Emily Meigs, Francesca Parise, Asuman E. Ozdaglar:
Learning dynamics in stochastic routing games. Allerton 2017: 259-266 - [c70]Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar:
Optimal pricing policy of network goods. Allerton 2017: 739-743 - [c69]Francesca Parise, Asuman E. Ozdaglar:
Sensitivity analysis for network aggregative games. CDC 2017: 3200-3205 - [c68]Mert Gürbüzbalaban, Asuman E. Ozdaglar, Pablo A. Parrilo, Nuri Denizcan Vanli:
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent. NIPS 2017: 6999-7007 - [i38]Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar:
Strategic Dynamic Pricing with Network Externalities. CoRR abs/1706.01131 (2017) - [i37]Francesca Parise, Asuman E. Ozdaglar:
Sensitivity analysis for network aggregative games. CoRR abs/1706.08693 (2017) - [i36]Francesca Parise, Asuman E. Ozdaglar:
A variational inequality framework for network games: Existence, uniqueness, convergence and sensitivity analysis. CoRR abs/1712.08277 (2017) - 2016
- [j60]Edward J. Anderson, David Gamarnik, Anton J. Kleywegt, Asuman E. Ozdaglar:
Preface to the Special Issue on Information and Decisions in Social and Economic Networks. Oper. Res. 64(3): 561-563 (2016) - [j59]Kostas Bimpikis, Asuman E. Ozdaglar, Mehmet Ercan Yildiz:
Competitive Targeted Advertising Over Networks. Oper. Res. 64(3): 705-720 (2016) - [j58]Daron Acemoglu, Azarakhsh Malekian, Asuman E. Ozdaglar:
Network security and contagion. J. Econ. Theory 166: 536-585 (2016) - [j57]Yongwhan Lim, Asuman E. Ozdaglar, Alexander Teytelboym:
Competitive Rumor Spread in Social Networks. SIGMETRICS Perform. Evaluation Rev. 44(3): 7-14 (2016) - [c67]Insoon Yang, Asuman E. Ozdaglar:
Reducing electricity price volatility via stochastic storage control. ACC 2016: 4138-4144 - [c66]N. Denizcan Vanli, Mert Gürbüzbalaban, Asuman E. Ozdaglar:
Global convergence rate of incremental aggregated gradient methods for nonsmooth problems. CDC 2016: 173-178 - [i35]Daron Acemoglu, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar:
Informational Braess' Paradox: The Effect of Information on Traffic Congestion. CoRR abs/1601.02039 (2016) - 2015
- [j56]Ozan Candogan, Asuman E. Ozdaglar, Pablo A. Parrilo:
Iterative Auction Design for Tree Valuations. Oper. Res. 63(4): 751-771 (2015) - [j55]Mert Gürbüzbalaban, Asuman E. Ozdaglar, Pablo A. Parrilo:
A globally convergent incremental Newton method. Math. Program. 151(1): 283-313 (2015) - [j54]Daron Acemoglu, Ali Makhdoumi, Azarakhsh Malekian, Asuman E. Ozdaglar:
Privacy-Constrained Network Formation. SIGMETRICS Perform. Evaluation Rev. 43(3): 58 (2015) - [c65]Ali Makhdoumi, Asuman E. Ozdaglar:
Graph balancing for distributed subgradient methods over directed graphs. CDC 2015: 1364-1371 - [c64]Kimon Drakopoulos, Asuman E. Ozdaglar, John N. Tsitsiklis:
A lower bound on the performance of dynamic curing policies for epidemics on graphs. CDC 2015: 3560-3567 - [c63]Daron Acemoglu, Mohamed Mostagir, Asuman E. Ozdaglar:
Managing Innovation in a Crowd. EC 2015: 283 - [r1]Asuman E. Ozdaglar:
Strategic Form Games and Nash Equilibrium. Encyclopedia of Systems and Control 2015 - [i34]Elie M. Adam, Munther A. Dahleh, Asuman E. Ozdaglar:
Towards an Algebra for Cascade Effects. CoRR abs/1506.06394 (2015) - [i33]Kimon Drakopoulos, Asuman E. Ozdaglar, John N. Tsitsiklis:
When is a network epidemic hard to eliminate? CoRR abs/1510.06054 (2015) - [i32]Kimon Drakopoulos, Asuman E. Ozdaglar, John N. Tsitsiklis:
A lower bound on the performance of dynamic curing policies for epidemics on graphs. CoRR abs/1510.06055 (2015) - 2014
- [j53]Daron Acemoglu, Giacomo Como, Fabio Fagnani, Asuman E. Ozdaglar:
Harmonic Influence in Largescale Networks. SIGMETRICS Perform. Evaluation Rev. 42(3): 24 (2014) - [j52]Daron Acemoglu, Azarakhsh Malekian, Asuman E. Ozdaglar:
Network Security and Contagion. SIGMETRICS Perform. Evaluation Rev. 42(3): 38 (2014) - [j51]Michael Zargham, Alejandro Ribeiro, Asuman E. Ozdaglar, Ali Jadbabaie:
Accelerated Dual Descent for Network Flow Optimization. IEEE Trans. Autom. Control. 59(4): 905-920 (2014) - [j50]Amir Beck, Angelia Nedic, Asuman E. Ozdaglar, Marc Teboulle:
An O(1/k) Gradient Method for Network Resource Allocation Problems. IEEE Trans. Control. Netw. Syst. 1(1): 64-73 (2014) - [j49]Luca Vassio, Fabio Fagnani, Paolo Frasca, Asuman E. Ozdaglar:
Message Passing Optimization of Harmonic Influence Centrality. IEEE Trans. Control. Netw. Syst. 1(1): 109-120 (2014) - [j48]Fang Zhao, Muriel Médard, Asuman E. Ozdaglar, Desmond S. Lun:
Convergence Study of Decentralized Min-Cost Subgraph Algorithms for Multicast in Coded Networks. IEEE Trans. Inf. Theory 60(1): 410-421 (2014) - [j47]Kimon Drakopoulos, Asuman E. Ozdaglar, John N. Tsitsiklis:
An Efficient Curing Policy for Epidemics on Graphs. IEEE Trans. Netw. Sci. Eng. 1(2): 67-75 (2014) - [c62]Ali Makhdoumi, Asuman E. Ozdaglar:
Broadcast-based distributed alternating direction method of multipliers. Allerton 2014: 270-277 - [c61]Kimon Drakopoulos, Asuman E. Ozdaglar, John N. Tsitsiklis:
An efficient curing policy for epidemics on graphs. CDC 2014: 4447-4454 - [c60]Elie M. Adam, Munther A. Dahleh, Asuman E. Ozdaglar:
Towards an algebra for cascade effects. CDC 2014: 4461-4466 - [c59]Ermin Wei, Azarakhsh Malekian, Asuman E. Ozdaglar:
Competitive equilibrium in electricity markets with heterogeneous users and price fluctuation penalty. CDC 2014: 6452-6458 - [c58]Luca Vassio, Fabio Fagnani, Paolo Frasca, Asuman E. Ozdaglar:
A message passing algorithm for the evaluation of social influence. ECC 2014: 190-195 - [c57]Daron Acemoglu, Mohamed Mostagir, Asuman E. Ozdaglar:
State-dependent opinion dynamics. ICASSP 2014: 4773-4777 - [c56]Louis Kim, Mark Abramson, Kimon Drakopoulos, Stephan E. Kolitz, Asuman E. Ozdaglar:
Estimating Social Network Structure and Propagation Dynamics for an Infectious Disease. SBP 2014: 85-93 - [i31]Kimon Drakopoulos, Asuman E. Ozdaglar, John N. Tsitsiklis:
An efficient curing policy for epidemics on graphs. CoRR abs/1407.2241 (2014) - [i30]Christina E. Lee, Asuman E. Ozdaglar, Devavrat Shah:
Solving Systems of Linear Equations: Locally and Asynchronously. CoRR abs/1411.2647 (2014) - 2013
- [j46]