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Matthew Tsao
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- affiliation: Stanford University, Autonomous Systems Laboratory, CA, USA
- affiliation: University of Illinois at Urbana Champaign, IL, USA
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2020 – today
- 2024
- [i9]Devansh Jalota, Matthew Tsao, Marco Pavone:
Catch Me If You Can: Combatting Fraud in Artificial Currency Based Government Benefits Programs. CoRR abs/2402.16162 (2024) - 2023
- [j4]Devansh Jalota, Kiril Solovey, Matthew Tsao, Stephen Zoepf, Marco Pavone:
Balancing fairness and efficiency in traffic routing via interpolated traffic assignment. Auton. Agents Multi Agent Syst. 37(2): 32 (2023) - [c12]Matthew Tsao, Karthik Gopalakrishnan, Kaidi Yang, Marco Pavone:
Differentially Private Stochastic Convex Optimization for Network Routing Applications. CDC 2023: 7475-7482 - 2022
- [j3]Marco Pavone, Amin Saberi, Maximilian Schiffer, Matt Wu Tsao:
Technical Note - Online Hypergraph Matching with Delays. Oper. Res. 70(4): 2194-2212 (2022) - [j2]Matthew Tsao, Kaidi Yang, Stephen Zoepf, Marco Pavone:
Trust but Verify: Cryptographic Data Privacy for Mobility Management. IEEE Trans. Control. Netw. Syst. 9(1): 50-61 (2022) - [c11]Devansh Jalota, Kiril Solovey, Matthew Tsao, Stephen Zoepf, Marco Pavone:
Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment. AAMAS 2022: 678-686 - [c10]Matthew Tsao, Kaidi Yang, Karthik Gopalakrishnan, Marco Pavone:
Private Location Sharing for Decentralized Routing Services. ITSC 2022: 2479-2486 - [i8]Matthew Tsao, Kaidi Yang, Karthik Gopalakrishnan, Marco Pavone:
Private and Decentralized Location Sharing for Congestion-Aware Routing. CoRR abs/2202.13305 (2022) - [i7]Matthew Tsao, Karthik Gopalakrishnan, Kaidi Yang, Marco Pavone:
Differentially Private Stochastic Convex Optimization for Network Routing Applications. CoRR abs/2210.14489 (2022) - 2021
- [j1]Robin A. Brown, Federico Rossi, Kiril Solovey, Matthew Tsao, Michael T. Wolf, Marco Pavone:
On Local Computation for Network-Structured Convex Optimization in Multiagent Systems. IEEE Trans. Control. Netw. Syst. 8(2): 542-554 (2021) - [c9]Kaidi Yang, Matthew W. Tsao, Xin Xu, Marco Pavone:
Real-Time Control of Mixed Fleets in Mobility-on-Demand Systems. ITSC 2021: 3570-3577 - [i6]Matthew Tsao, Kaidi Yang, Stephen Zoepf, Marco Pavone:
Trust but Verify: Cryptographic Data Privacy for Mobility Management. CoRR abs/2104.07768 (2021) - 2020
- [c8]Matthew Tsao, Kiril Solovey, Marco Pavone:
Sample Complexity of Probabilistic Roadmaps via ε-nets. ICRA 2020: 2196-2202 - [c7]Marco Pavone, Amin Saberi, Maximilian Schiffer, Matthew Tsao:
Online Hypergraph Matching with Delays. WINE 2020: 465 - [i5]Kaidi Yang, Matthew W. Tsao, Xin Xu, Marco Pavone:
Planning and Operations of Mixed Fleets in Mobility-on-Demand Systems. CoRR abs/2008.08131 (2020) - [i4]Marco Pavone, Amin Saberi, Maximilian Schiffer, Matthew Tsao:
Online Hypergraph Matching with Delays. CoRR abs/2009.12022 (2020)
2010 – 2019
- 2019
- [c6]Apoorva Sharma, James Harrison, Matthew Tsao, Marco Pavone:
Robust and Adaptive Planning under Model Uncertainty. ICAPS 2019: 410-418 - [c5]Mauro Salazar, Matthew Tsao, Izabel Aguiar, Maximilian Schiffer, Marco Pavone:
A Congestion-aware Routing Scheme for Autonomous Mobility-on-Demand Systems. ECC 2019: 3040-3046 - [c4]Matthew Tsao, Dejan Milojevic, Claudio Ruch, Mauro Salazar, Emilio Frazzoli, Marco Pavone:
Model Predictive Control of Ride-sharing Autonomous Mobility-on-Demand Systems. ICRA 2019: 6665-6671 - [c3]Jannik Zgraggen, Matthew Tsao, Mauro Salazar, Maximilian Schiffer, Marco Pavone:
A Model Predictive Control Scheme for Intermodal Autonomous Mobility-on-Demand. ITSC 2019: 1953-1960 - [i3]Apoorva Sharma, James Harrison, Matthew Tsao, Marco Pavone:
Robust and Adaptive Planning under Model Uncertainty. CoRR abs/1901.02577 (2019) - [i2]Matthew Tsao, Kiril Solovey, Marco Pavone:
Sample Complexity of Probabilistic Roadmaps via ε-nets. CoRR abs/1909.06363 (2019) - 2018
- [c2]Matthew Tsao, Ramón Iglesias, Marco Pavone:
Stochastic Model Predictive Control for Autonomous Mobility on Demand. ITSC 2018: 3941-3948 - [i1]Matthew Tsao, Ramón Iglesias, Marco Pavone:
Stochastic Model Predictive Control for Autonomous Mobility on Demand. CoRR abs/1804.11074 (2018) - 2016
- [c1]Maxim Raginsky, Alexander Rakhlin, Matthew Tsao, Yihong Wu, Aolin Xu:
Information-theoretic analysis of stability and bias of learning algorithms. ITW 2016: 26-30
Coauthor Index
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