default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRamtin Pedarsani
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j31]Mark Beliaev
, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Efficient and Robust Classification for Sparse Attacks. IEEE J. Sel. Areas Inf. Theory 5: 261-272 (2024)- [j30]Bhagyashree Puranik, Ozgur Guldogan, Upamanyu Madhow, Ramtin Pedarsani:
Long-Term Fairness in Sequential Multi-Agent Selection With Positive Reinforcement. IEEE J. Sel. Areas Inf. Theory 5: 424-441 (2024) - [j29]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Binary Classification Under ℓ0 Attacks for General Noise Distribution. IEEE Trans. Inf. Theory 70(2): 1284-1299 (2024) - [j28]Justin Singh Kang, Ramtin Pedarsani, Kannan Ramchandran:
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning. Trans. Mach. Learn. Res. 2024 (2024) - [i66]Mark Beliaev, Ramtin Pedarsani:
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators. CoRR abs/2402.01886 (2024) - [i65]Justin Singh Kang, Yigit Efe Erginbas, Landon Butler, Ramtin Pedarsani, Kannan Ramchandran:
Learning to Understand: Identifying Interactions via the Mobius Transform. CoRR abs/2402.02631 (2024) - [i64]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Generalization Properties of Adversarial Training for 𝓁0-Bounded Adversarial Attacks. CoRR abs/2402.03576 (2024) - [i63]Sajjad Ghiasvand, Amirhossein Reisizadeh, Mahnoosh Alizadeh, Ramtin Pedarsani:
Robust Decentralized Learning with Local Updates and Gradient Tracking. CoRR abs/2405.00965 (2024) - [i62]Bhagyashree Puranik, Ozgur Guldogan, Upamanyu Madhow, Ramtin Pedarsani:
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement. CoRR abs/2407.07350 (2024) - 2023
- [j27]Mohammad Fereydounian, Aryan Mokhtari, Ramtin Pedarsani, Hamed Hassani:
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach. IEEE Trans. Inf. Theory 69(11): 7317-7335 (2023) - [j26]Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari:
Straggler-Resilient Personalized Federated Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c67]Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee:
Equal Improvability: A New Fairness Notion Considering the Long-term Impact. ICLR 2023 - [c66]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Generalization Properties of Adversarial Training for -ℓ0 Bounded Adversarial Attacks. ITW 2023: 113-118 - [i61]Justin Singh Kang, Ramtin Pedarsani, Kannan Ramchandran:
The Fair Value of Data Under Heterogeneous Privacy Constraints. CoRR abs/2301.13336 (2023) - [i60]Mark Beliaev, Negar Mehr, Ramtin Pedarsani:
Pricing for Multi-modal Pickup and Delivery Problems with Heterogeneous Users. CoRR abs/2303.10253 (2023) - 2022
- [j25]Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie:
An Optimal Transport Approach to Personalized Federated Learning. IEEE J. Sel. Areas Inf. Theory 3(2): 162-171 (2022) - [j24]Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani:
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. IEEE J. Sel. Areas Inf. Theory 3(2): 197-205 (2022) - [j23]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model. SIAM J. Math. Data Sci. 4(1): 362-385 (2022) - [j22]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Social Coordination and Altruism in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(12): 24791-24804 (2022) - [j21]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. IEEE/ACM Trans. Netw. 30(1): 148-161 (2022) - [j20]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing. IEEE Trans. Signal Process. 70: 4124-4139 (2022) - [c65]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
A Dynamic Decision-Making Framework Promoting Long-Term Fairness. AIES 2022: 547-556 - [c64]Daniel A. Lazar, Ramtin Pedarsani:
Anonymous Tolling for Traffic Networks with Mixed Autonomy. ECC 2022: 391-398 - [c63]Mark Beliaev, Negar Mehr, Ramtin Pedarsani:
Congestion-aware Bi-modal Delivery Systems Utilizing Drones. ECC 2022: 1944-1951 - [c62]Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani:
Adaptive Node Participation for Straggler-Resilient Federated Learning. ICASSP 2022: 8762-8766 - [c61]Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani:
Imitation Learning by Estimating Expertise of Demonstrators. ICML 2022: 1732-1748 - [c60]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Asymptotic Behavior of Adversarial Training in Binary Linear Classification. ISIT 2022: 127-132 - [c59]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Binary Classification Under ℓ0 Attacks for General Noise Distribution. ISIT 2022: 1731-1736 - [c58]Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Efficient and Robust Classification for Sparse Attacks. ISIT 2022: 3150-3155 - [i59]Mark Beliaev, Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Efficient and Robust Classification for Sparse Attacks. CoRR abs/2201.09369 (2022) - [i58]Rodolfo Valiente, Behrad Toghi, Ramtin Pedarsani, Yaser P. Fallah:
Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic. CoRR abs/2202.00881 (2022) - [i57]Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani:
Imitation Learning by Estimating Expertise of Demonstrators. CoRR abs/2202.01288 (2022) - [i56]Mohammad Fereydounian, Aryan Mokhtari, Ramtin Pedarsani, Hamed Hassani:
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach. CoRR abs/2202.09398 (2022) - [i55]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Binary Classification Under 𝓁0 Attacks for General Noise Distribution. CoRR abs/2203.04855 (2022) - [i54]Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari:
Straggler-Resilient Personalized Federated Learning. CoRR abs/2206.02078 (2022) - [i53]Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie:
An Optimal Transport Approach to Personalized Federated Learning. CoRR abs/2206.02468 (2022) - [i52]Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee:
Equal Improvability: A New Fairness Notion Considering the Long-term Impact. CoRR abs/2210.06732 (2022) - [i51]Rodolfo Valiente, Behrad Toghi, Mahdi Razzaghpour, Ramtin Pedarsani, Yaser P. Fallah:
Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic. CoRR abs/2211.11963 (2022) - 2021
- [j19]Daniel A. Lazar, Ramtin Pedarsani:
Optimal Tolling for Multitype Mixed Autonomous Traffic Networks. IEEE Control. Syst. Lett. 5(5): 1849-1854 (2021) - [j18]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models. Entropy 23(2): 178 (2021) - [j17]Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani:
Routing for Traffic Networks With Mixed Autonomy. IEEE Trans. Autom. Control. 66(6): 2664-2676 (2021) - [j16]Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Incentivizing Efficient Equilibria in Traffic Networks With Mixed Autonomy. IEEE Trans. Control. Netw. Syst. 8(4): 1717-1729 (2021) - [j15]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing. IEEE/ACM Trans. Netw. 29(3): 1022-1031 (2021) - [c57]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. AISTATS 2021: 2773-2781 - [c56]Daniel A. Lazar, Ramtin Pedarsani:
Optimal Tolling for Multitype Mixed Autonomous Traffic Networks. ACC 2021: 4541-4546 - [c55]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
Adversarially Robust Classification Based on GLRT. ICASSP 2021: 3785-3789 - [c54]Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani:
Incentivizing routing choices for safe and efficient transportation in the face of the COVID-19 pandemic. ICCPS 2021: 187-197 - [c53]Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Emergent Prosociality in Multi-Agent Games Through Gifting. IJCAI 2021: 434-442 - [c52]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Cooperative Autonomous Vehicles that Sympathize with Human Drivers. IROS 2021: 4517-4524 - [i50]Daniel A. Lazar, Ramtin Pedarsani:
Anonymous Tolling for Traffic Networks with Mixed Autonomy. CoRR abs/2103.13553 (2021) - [i49]Payam Delgosha, Hamed Hassani, Ramtin Pedarsani:
Robust Classification Under 𝓁0 Attack for the Gaussian Mixture Model. CoRR abs/2104.02189 (2021) - [i48]Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Emergent Prosociality in Multi-Agent Games Through Gifting. CoRR abs/2105.06593 (2021) - [i47]Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy. CoRR abs/2106.04678 (2021) - [i46]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Social Coordination and Altruism in Autonomous Driving. CoRR abs/2107.00200 (2021) - [i45]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Cooperative Autonomous Vehicles that Sympathize with Human Drivers. CoRR abs/2107.00898 (2021) - [i44]Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah:
Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic. CoRR abs/2107.05664 (2021) - [i43]Behrad Toghi, Rodolfo Valiente, Ramtin Pedarsani, Yaser P. Fallah:
Towards Learning Generalizable Driving Policies from Restricted Latent Representations. CoRR abs/2111.03688 (2021) - [i42]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing. CoRR abs/2112.02209 (2021) - 2020
- [j14]Qinshuang Wei, Ramtin Pedarsani, Samuel Coogan:
Mixed Autonomy in Ride-Sharing Networks. IEEE Trans. Control. Netw. Syst. 7(4): 1940-1950 (2020) - [j13]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. IEEE Trans. Inf. Theory 66(10): 6534-6554 (2020) - [c51]Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani:
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. AISTATS 2020: 2021-2031 - [c50]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Asymptotics and Optimal Performance for Inference in Binary Models. AISTATS 2020: 3739-3749 - [c49]Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani:
Polarizing Front Ends for Robust Cnns. ICASSP 2020: 4257-4261 - [c48]Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Quantized Decentralized Stochastic Learning over Directed Graphs. ICML 2020: 9324-9333 - [c47]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing in Unknown Environment via Online Learning. ISIT 2020: 185-190 - [c46]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Optimality of Least-squares for Classification in Gaussian-Mixture Models. ISIT 2020: 2515-2520 - [c45]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Hierarchical Coded Gradient Aggregation for Learning at the Edge. ISIT 2020: 2616-2621 - [c44]Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie:
Robust Federated Learning: The Case of Affine Distribution Shifts. NeurIPS 2020 - [i41]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Asymptotics and Optimal Performance for Inference in Binary Models. CoRR abs/2002.07284 (2020) - [i40]Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani:
Polarizing Front Ends for Robust CNNs. CoRR abs/2002.09580 (2020) - [i39]Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Quantized Push-sum for Gossip and Decentralized Optimization over Directed Graphs. CoRR abs/2002.09964 (2020) - [i38]Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie:
Robust Federated Learning: The Case of Affine Distribution Shifts. CoRR abs/2006.08907 (2020) - [i37]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions. CoRR abs/2006.08917 (2020) - [i36]Daniel A. Lazar, Ramtin Pedarsani:
Optimal Tolling for Multitype Mixed Autonomous Traffic Networks. CoRR abs/2009.00198 (2020) - [i35]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Asymptotic Behavior of Adversarial Training in Binary Classification. CoRR abs/2010.13275 (2020) - [i34]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
Adversarially Robust Classification based on GLRT. CoRR abs/2011.07835 (2020) - [i33]Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani:
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity. CoRR abs/2012.14453 (2020) - [i32]Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani:
Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic. CoRR abs/2012.15749 (2020)
2010 – 2019
- 2019
- [j12]Dong Yin, Ramtin Pedarsani, Yudong Chen, Kannan Ramchandran:
Learning Mixtures of Sparse Linear Regressions Using Sparse Graph Codes. IEEE Trans. Inf. Theory 65(3): 1430-1451 (2019) - [j11]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computation Over Heterogeneous Clusters. IEEE Trans. Inf. Theory 65(7): 4227-4242 (2019) - [j10]Xiao Li, Dong Yin, Sameer Pawar, Ramtin Pedarsani, Kannan Ramchandran:
Sub-Linear Time Support Recovery for Compressed Sensing Using Sparse-Graph Codes. IEEE Trans. Inf. Theory 65(10): 6580-6619 (2019) - [j9]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. IEEE/ACM Trans. Netw. 27(4): 1330-1343 (2019) - [j8]Kangwook Lee, Kabir Chandrasekher, Ramtin Pedarsani, Kannan Ramchandran:
SAFFRON: A Fast, Efficient, and Robust Framework for Group Testing Based on Sparse-Graph Codes. IEEE Trans. Signal Process. 67(17): 4649-4664 (2019) - [j7]Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
An Exact Quantized Decentralized Gradient Descent Algorithm. IEEE Trans. Signal Process. 67(19): 4934-4947 (2019) - [c43]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Guarantees for Solving Random Equations with One-Bit Information. Allerton 2019: 765-772 - [c42]Qinshuang Wei, Jorge Alberto Rodriguez, Ramtin Pedarsani, Samuel Coogan:
Ride-Sharing Networks with Mixed Autonomy. ACC 2019: 3303-3308 - [c41]Erdem Biyik, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani:
The Green Choice: Learning and Influencing Human Decisions on Shared Roads. CDC 2019: 347-354 - [c40]Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani:
Optimal Tolling for Heterogeneous Traffic Networks with Mixed Autonomy. CDC 2019: 4103-4108 - [c39]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely Coded Computing. ISIT 2019: 2798-2802 - [c38]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
Tree Gradient Coding. ISIT 2019: 2808-2812 - [c37]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely-Throughput Optimal Coded Computing over Cloud Networks. MobiHoc 2019: 301-310 - [c36]Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Robust and Communication-Efficient Collaborative Learning. NeurIPS 2019: 8386-8397 - [i31]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. CoRR abs/1902.01981 (2019) - [i30]Erdem Biyik, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani:
The Green Choice: Learning and Influencing Human Decisions on Shared Roads. CoRR abs/1904.02209 (2019) - [i29]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely-Throughput Optimal Coded Computing over Cloud Networks. CoRR abs/1904.05522 (2019) - [i28]Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Robust and Communication-Efficient Collaborative Learning. CoRR abs/1907.10595 (2019) - [i27]Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
Sharp Guarantees for Solving Random Equations with One-Bit Information. CoRR abs/1908.04433 (2019) - [i26]Qinshuang Wei, Ramtin Pedarsani, Samuel Coogan:
Mixed Autonomy in Ride-Sharing Network. CoRR abs/1908.11711 (2019) - [i25]Daniel A. Lazar, Erdem Biyik, Dorsa Sadigh, Ramtin Pedarsani:
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads. CoRR abs/1909.03664 (2019) - [i24]Berkay Turan, Ramtin Pedarsani, Mahnoosh Alizadeh:
Dynamic Pricing and Management for Electric Autonomous Mobility on Demand Systems Using Reinforcement Learning. CoRR abs/1909.06962 (2019) - [i23]Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani:
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. CoRR abs/1909.13014 (2019) - [i22]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing. CoRR abs/1912.09512 (2019) - 2018
- [j6]Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran:
Speeding Up Distributed Machine Learning Using Codes. IEEE Trans. Inf. Theory 64(3): 1514-1529 (2018) - [c35]Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani:
The Price of Anarchy for Transportation Networks with Mixed Autonomy. ACC 2018: 6359-6365 - [c34]Daniel A. Lazar, Ramtin Pedarsani, Kabir Chandrasekher, Dorsa Sadigh:
Maximizing Road Capacity Using Cars that Influence People. CDC 2018: 1801-1808 - [c33]Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani:
Quantized Decentralized Consensus Optimization. CDC 2018: 5838-5843 - [c32]Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani:
Combating Adversarial Attacks Using Sparse Representations. ICLR (Workshop) 2018 - [c31]Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani:
Sparsity-based Defense Against Adversarial Attacks on Linear Classifiers. ISIT 2018: 31-35 - [c30]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. ISIT 2018: 1221-1225 - [c29]Chien-Sheng Yang, Amir Salman Avestimehr, Ramtin Pedarsani:
Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. ISIT 2018: 1226-1230 - [c28]Negar Mehr, Jennie Lioris, Roberto Horowitz, Ramtin Pedarsani:
Signal Control for Urban Traffic Networks with Unknown System Parameters. ITSC 2018: 2171-2176 - [c27]Amirhossein Reisizadeh, Pedro Abdalla, Ramtin Pedarsani:
Sub-linear Time Stochastic Threshold Group Testing via Sparse-Graph Codes. ITW 2018: 1-5 - [c26]Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Altruistic Autonomy: Beating Congestion on Shared Roads. WAFR 2018: 887-904 - [i21]Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani:
Sparsity-based Defense against Adversarial Attacks on Linear Classifiers. CoRR abs/1801.04695 (2018) - [i20]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. CoRR abs/1801.05522 (2018) - [i19]Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani:
Combating Adversarial Attacks Using Sparse Representations. CoRR abs/1803.03880 (2018) - [i18]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. CoRR abs/1804.06468 (2018) - [i17]Amirhossein Reisizadeh, Aryan Mokhtari, S. Hamed Hassani, Ramtin Pedarsani:
Quantized Decentralized Consensus Optimization. CoRR abs/1806.11536 (2018) - [i16]