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Journal Articles
- 2024
[j27]Piyush Gupta, Vaibhav Srivastava:
Structural properties of optimal fidelity selection policies for human-in-the-loop queues. Autom. 159: 111388 (2024)- [j26]Huanqing Wang
, Kaixiang Zhang, Kyungjoon Lee, Yu Mei, Keyi Zhu, Vaibhav Srivastava, Jun Sheng, Zhaojian Li:
Mechanical Design and Data-Enabled Predictive Control of a Planar Soft Robot. IEEE Robotics Autom. Lett. 9(9): 7923-7930 (2024) - [j25]Vishal Abhishek, Vaibhav Srivastava:
SIS Epidemic Spreading Under Multilayer Population Dispersal in Patchy Environments. IEEE Trans. Control. Netw. Syst. 11(1): 126-138 (2024) - [j24]Abhisek Satapathi, Narendra Kumar Dhar, Ashish R. Hota, Vaibhav Srivastava:
Coupled Evolutionary Behavioral and Disease Dynamics Under Reinfection Risk. IEEE Trans. Control. Netw. Syst. 11(2): 795-807 (2024) - 2023
- [j23]Urmee Maitra, Ashish R. Hota, Vaibhav Srivastava:
SIS Epidemic Propagation Under Strategic Non-Myopic Protection: A Dynamic Population Game Approach. IEEE Control. Syst. Lett. 7: 1578-1583 (2023) - [j22]Ethan Lau, Vaibhav Srivastava, Shaunak D. Bopardikar:
A Multi-Fidelity Bayesian Approach to Safe Controller Design. IEEE Control. Syst. Lett. 7: 2904-2909 (2023) - [j21]Piyush Gupta, Shaunak D. Bopardikar, Vaibhav Srivastava:
Incentivizing Collaboration in Heterogeneous Teams via Common-Pool Resource Games. IEEE Trans. Autom. Control. 68(3): 1902-1909 (2023) - [j20]Nan Li, Kaixiang Zhang, Zhaojian Li, Vaibhav Srivastava, Xiang Yin:
Cloud-Assisted Nonlinear Model Predictive Control for Finite-Duration Tasks. IEEE Trans. Autom. Control. 68(9): 5287-5300 (2023) - 2022
- [j19]Zahra Aminzare, Vaibhav Srivastava:
Stochastic synchronization in nonlinear network systems driven by intrinsic and coupling noise. Biol. Cybern. 116(2): 147-162 (2022) - [j18]Yaofeng Desmond Zhong, Vaibhav Srivastava, Naomi Ehrich Leonard:
Influence Spread in the Heterogeneous Multiplex Linear Threshold Model. IEEE Trans. Control. Netw. Syst. 9(3): 1080-1091 (2022) - 2021
- [j17]Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
Distributed cooperative decision making in multi-agent multi-armed bandits. Autom. 125: 109445 (2021) - [j16]Lai Wei, Vaibhav Srivastava:
Minimax Policy for Heavy-Tailed Bandits. IEEE Control. Syst. Lett. 5(4): 1423-1428 (2021) - [j15]Connor J. Boss, Vaibhav Srivastava:
In-Flight Actuator Failure Recovery of a Hexrotor Via Multiple Models and Extended High-Gain Observers. IEEE Robotics Autom. Lett. 6(4): 6204-6211 (2021) - [j14]Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard:
Corrections to "Satisficing in Multiarmed Bandit Problems". IEEE Trans. Autom. Control. 66(1): 476-478 (2021) - 2020
- [j13]Shaunak D. Bopardikar, Vaibhav Srivastava:
Dynamic Vehicle Routing in Presence of Random Recalls. IEEE Control. Syst. Lett. 4(1): 37-42 (2020) - 2018
- [j12]Zahra Aminzare, Vaibhav Srivastava, Philip Holmes:
Gait Transitions in a Phase Oscillator Model of an Insect Central Pattern Generator. SIAM J. Appl. Dyn. Syst. 17(1): 626-671 (2018) - [j11]Rebecca Gray, Alessio Franci, Vaibhav Srivastava, Naomi Ehrich Leonard:
Multiagent Decision-Making Dynamics Inspired by Honeybees. IEEE Trans. Control. Netw. Syst. 5(2): 793-806 (2018) - 2017
- [j10]Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard:
Satisficing in Multi-Armed Bandit Problems. IEEE Trans. Autom. Control. 62(8): 3788-3803 (2017) - 2014
- [j9]Vaibhav Srivastava, Ruggero Carli, Cédric Langbort, Francesco Bullo:
Attention allocation for decision making queues. Autom. 50(2): 378-388 (2014) - [j8]Erik K. Malm, Vaibhav Srivastava, Gustav Sundqvist, Vincent Bulone:
APP: an Automated Proteomics Pipeline for the analysis of mass spectrometry data based on multiple open access tools. BMC Bioinform. 15: 6600 (2014) - [j7]Vaibhav Srivastava, Francesco Bullo:
Knapsack problems with sigmoid utilities: Approximation algorithms via hybrid optimization. Eur. J. Oper. Res. 236(2): 488-498 (2014) - [j6]Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard:
Modeling Human Decision Making in Generalized Gaussian Multiarmed Bandits. Proc. IEEE 102(4): 544-571 (2014) - [j5]Luca Carlone, Vaibhav Srivastava, Francesco Bullo, Giuseppe Carlo Calafiore:
Distributed Random Convex Programming via Constraints Consensus. SIAM J. Control. Optim. 52(1): 629-662 (2014) - [j4]Vaibhav Srivastava, Naomi Ehrich Leonard:
Collective Decision-Making in Ideal Networks: The Speed-Accuracy Tradeoff. IEEE Trans. Control. Netw. Syst. 1(1): 121-132 (2014) - 2013
- [j3]Vaibhav Srivastava, Fabio Pasqualetti, Francesco Bullo:
Stochastic surveillance strategies for spatial quickest detection. Int. J. Robotics Res. 32(12): 1438-1458 (2013) - 2011
- [j2]Vaibhav Srivastava, Jeff Moehlis, Francesco Bullo:
On Bifurcations in Nonlinear Consensus Networks. J. Nonlinear Sci. 21(6): 875-895 (2011) - [j1]Vaibhav Srivastava, Kurt Plarre, Francesco Bullo:
Randomized Sensor Selection in Sequential Hypothesis Testing. IEEE Trans. Signal Process. 59(5): 2342-2354 (2011)
Conference and Workshop Papers
- 2023
- [c48]Yu Mei, Preston Fairchild, Vaibhav Srivastava, Changyong Cao, Xiaobo Tan:
Simultaneous Motion and Stiffness Control for Soft Pneumatic Manipulators based on a Lagrangian-based Dynamic Model. ACC 2023: 145-152 - [c47]Demetris Coleman, Shaunak D. Bopardikar, Vaibhav Srivastava, Xiaobo Tan:
Exploration of Unknown Scalar Fields with Multifidelity Gaussian Processes Under Localization Uncertainty. ACC 2023: 3296-3303 - [c46]Dong Hae Mangalindan, Ericka Rovira, Vaibhav Srivastava:
On Trust-aware Assistance-seeking in Human-Supervised Autonomy. ACC 2023: 3901-3906 - [c45]Abhishek Bajpai, Vaibhav Srivastava, Shruti Yadav, Yash Sharma:
Multiple Flying Object Detection using AlexNet Architecture for Aerial Surveillance Applications. ICCCNT 2023: 1-6 - 2022
- [c44]Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava:
Towards Modeling Human Motor Learning Dynamics in High-Dimensional Spaces. ACC 2022: 683-688 - [c43]Abhisek Satapathi, Narendra Kumar Dhar, Ashish R. Hota, Vaibhav Srivastava:
Epidemic Propagation under Evolutionary Behavioral Dynamics: Stability and Bifurcation Analysis. ACC 2022: 3662-3667 - [c42]Shaunak D. Bopardikar, Vaibhav Srivastava:
A Scenario Approach to Robust Simulation-based Path Planning. ACC 2022: 5024-5029 - [c41]Piyush Gupta, Vaibhav Srivastava:
Deterministic Sequencing of Exploration and Exploitation for Reinforcement Learning. CDC 2022: 2313-2318 - 2021
- [c40]Vishal Abhishek, Vaibhav Srivastava, Ranjan Mukherjee:
Towards a heterogeneous cable-connected team of UAVs for aerial manipulation. ACC 2021: 54-59 - [c39]Connor J. Boss, Vishal Abhishek, Vaibhav Srivastava:
Towards multi-body multi-rotors for long reach manipulation. ACC 2021: 112-117 - [c38]Lai Wei, Vaibhav Srivastava:
Minimax Policy for Heavy-tailed Bandits. ACC 2021: 1155-1160 - [c37]Andrew McDonald, Lai Wei, Vaibhav Srivastava:
Online Estimation and Coverage Control with Heterogeneous Sensing Information. CCTA 2021: 144-149 - [c36]Piyush Gupta, Vaibhav Srivastava:
On Robust and Adaptive Fidelity Selection for Human-in-the-loop Queues. ECC 2021: 872-877 - [c35]Lai Wei, Andrew McDonald, Vaibhav Srivastava:
Multi-Robot Gaussian Process Estimation and Coverage: Deterministic Sequencing Algorithm and Regret Analysis. ICRA 2021: 9080-9085 - 2020
- [c34]Connor J. Boss, Vaibhav Srivastava, Hassan K. Khalil:
Robust tracking of an unknown trajectory with a multi-rotor UAV: A high-gain observer approach. ACC 2020: 1429-1434 - [c33]Yasir Khudhair Al-Nadawi, Hothaifa Al-Qassab, Daniel Kent, Su Pang, Vaibhav Srivastava, Hayder Radha:
Design of Robust Path-Following Control System for Self-driving Vehicles Using Extended High-Gain Observer. ACC 2020: 1435-1440 - [c32]Vishal Abhishek, Vaibhav Srivastava:
SIS Epidemic Model under Mobility on Multi-layer Networks. ACC 2020: 3743-3748 - [c31]Lai Wei, Xiaobo Tan, Vaibhav Srivastava:
Expedited Multi-Target Search with Guaranteed Performance via Multi-fidelity Gaussian Processes. IROS 2020: 7095-7100 - 2019
- [c30]Piyush Gupta, Vaibhav Srivastava:
Optimal Fidelity Selection for Human-in-the-loop Queues using Semi-Markov Decision Processes. ACC 2019: 5266-5271 - [c29]Zahra Aminzare, Philip Holmes, Vaibhav Srivastava:
On Phase Reduction and Time Period of Noisy Oscillators. CDC 2019: 4717-4722 - [c28]Piyush Gupta, Shaunak D. Bopardikar, Vaibhav Srivastava:
Achieving Efficient Collaboration in Decentralized Heterogeneous Teams using Common-Pool Resource Games. CDC 2019: 6924-6929 - [c27]Khem Raj Ghusinga, Vaibhav Srivastava, Abhyudai Singh:
Driving an Ornstein-Uhlenbeck Process to Desired First-Passage Time Statistics. ECC 2019: 869-874 - 2018
- [c26]Lai Wei, Vaibhav Srivastava:
On Abruptly-Changing and Slowly-Varying Multiarmed Bandit Problems. ACC 2018: 6291-6296 - [c25]Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
Social Imitation in Cooperative Multiarmed Bandits: Partition-Based Algorithms with Strictly Local Information. CDC 2018: 5239-5244 - [c24]Lai Wei, Vaibhav Srivastava:
On Distributed Multi-Player Multiarmed Bandit Problems in Abruptly Changing Environment. CDC 2018: 5783-5788 - [c23]Paul Reverdy, Vaibhav Srivastava:
Multi-Armed Bandits for Human-Machine Decision Making. ICASSP 2018: 6986-6990 - 2017
- [c22]Vaibhav Srivastava, Naomi Ehrich Leonard:
Bio-inspired decision-making and control: From honeybees and neurons to network design. ACC 2017: 2026-2039 - [c21]Anthony J. Savas, Vaibhav Srivastava, Naomi Ehrich Leonard:
On distributed linear filtering with noisy communication. ACC 2017: 2699-2704 - [c20]Sarah Huiyi Cen, Vaibhav Srivastava, Naomi Ehrich Leonard:
On robustness and leadership in Markov switching consensus networks. CDC 2017: 1701-1706 - [c19]Yaofeng Desmond Zhong, Vaibhav Srivastava, Naomi Ehrich Leonard:
On the linear threshold model for diffusion of innovations in multiplex social networks. CDC 2017: 2593-2598 - 2016
- [c18]Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
Distributed cooperative decision-making in multiarmed bandits: Frequentist and Bayesian algorithms. CDC 2016: 167-172 - [c17]Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
On distributed cooperative decision-making in multiarmed bandits. ECC 2016: 243-248 - 2015
- [c16]Vaibhav Srivastava, Naomi Ehrich Leonard:
On first passage time problems in collective decision-making with heterogeneous agents. ACC 2015: 2113-2118 - [c15]Michael Shvartsman, Vaibhav Srivastava, Jonathan D. Cohen:
A Theory of Decision Making Under Dynamic Context. NIPS 2015: 2485-2493 - 2014
- [c14]Hamid Emadi, Vaibhav Srivastava, Umesh Vaidya, Sourabh Bhattacharya:
Further results on a class of nonlinear protocols in networked systems. AuCC 2014: 193-198 - [c13]Vaibhav Srivastava, Paul Reverdy, Naomi Ehrich Leonard:
Surveillance in an abruptly changing world via multiarmed bandits. CDC 2014: 692-697 - [c12]Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard:
Algorithmic models of human decision making in Gaussian multi-armed bandit problems. ECC 2014: 2210-2215 - 2013
- [c11]Vaibhav Srivastava, Paul Reverdy, Naomi Ehrich Leonard:
On optimal foraging and multi-armed bandits. Allerton 2013: 494-499 - [c10]Vaibhav Srivastava, Naomi Ehrich Leonard:
On the speed-accuracy tradeoff in collective decision making. CDC 2013: 1880-1885 - 2012
- [c9]Vaibhav Srivastava, Amit Surana, Francesco Bullo:
Adaptive attention allocation in human-robot systems. ACC 2012: 2767-2774 - 2011
- [c8]Vaibhav Srivastava, Ruggero Carli, Cédric Langbort, Francesco Bullo:
Task release control for decision making queues. ACC 2011: 1855-1860 - [c7]Vaibhav Srivastava, Francesco Bullo:
Stochastic surveillance strategies for spatial quickest detection. CDC/ECC 2011: 83-88 - [c6]Vaibhav Srivastava, Kurt Plarre, Francesco Bullo:
Adaptive sensor selection in sequential hypothesis testing. CDC/ECC 2011: 6284-6289 - [c5]Vaibhav Srivastava, Francesco Bullo:
Hybrid combinatorial optimization: Sample problems and algorithms. CDC/ECC 2011: 7212-7217 - [c4]Luca Carlone, Vaibhav Srivastava, Francesco Bullo, Giuseppe Carlo Calafiore:
A distributed algorithm for random convex programming. NetGCoop 2011: 1-7 - 2010
- [c3]Vaibhav Srivastava, Jeff Moehlis, Francesco Bullo:
On bifurcations in nonlinear consensus networks. ACC 2010: 1647-1652 - 2008
- [c2]Ananda Swarup Das, Jitu Kumar Keshri, Kannan Srinathan, Vaibhav Srivastava:
Privacy Preserving Shortest Path Computation in Presence of Convex Polygonal Obstacles. ARES 2008: 446-451 - 2007
- [c1]Ananda Swarup Das, Kannan Srinathan, Ritesh Kumar Tiwari, Vaibhav Srivastava:
Privacy Preserving Computation of Shortest Path in Presence of a Single Convex Polygonal Obstacle. MDM 2007: 248-252
Informal and Other Publications
- 2024
- [i40]Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava:
Human Motor Learning Dynamics in High-dimensional Tasks. CoRR abs/2404.13258 (2024) - [i39]Dong Hae Mangalindan, Vaibhav Srivastava:
Assistance-Seeking in Human-Supervised Autonomy: Role of Trust and Secondary Task Engagement (Extended Version). CoRR abs/2405.20118 (2024) - [i38]Amin Vahidi-Moghaddam, Kaixiang Zhang, Xunyuan Yin, Vaibhav Srivastava, Zhaojian Li:
Online Reduced-Order Data-Enabled Predictive Control. CoRR abs/2407.16066 (2024) - 2023
- [i37]Ethan Lau, Vaibhav Srivastava, Shaunak D. Bopardikar:
A Multi-Fidelity Bayesian Approach to Safe Controller Design. CoRR abs/2304.11023 (2023) - [i36]Ethan Lau, Vaibhav Srivastava, Shaunak D. Bopardikar:
On Multi-Fidelity Impedance Tuning for Human-Robot Cooperative Manipulation. CoRR abs/2310.05904 (2023) - [i35]Piyush Gupta, Subir Biswas, Vaibhav Srivastava:
Fostering Human Learning in Sequential Decision-Making: Understanding the Role of Evaluative Feedback. CoRR abs/2311.03486 (2023) - [i34]Piyush Gupta, Vaibhav Srivastava:
Optimal Fidelity Selection for Improved Performance in Human-in-the-Loop Queues for Underwater Search. CoRR abs/2311.06381 (2023) - 2022
- [i33]Piyush Gupta, Vaibhav Srivastava:
Structural Properties of Optimal Fidelity Selection Policies for Human-in-the-loop Queues. CoRR abs/2201.09990 (2022) - [i32]Ankur Kamboj, Rajiv Ranganathan, Xiaobo Tan, Vaibhav Srivastava:
Towards Modeling Human Motor Learning Dynamics in High-Dimensional Spaces. CoRR abs/2202.02863 (2022) - [i31]Abhisek Satapathi, Narendra Kumar Dhar, Ashish R. Hota, Vaibhav Srivastava:
Epidemic Propagation under Evolutionary Behavioral Dynamics: Stability and Bifurcation Analysis. CoRR abs/2203.10276 (2022) - [i30]Piyush Gupta, Vaibhav Srivastava:
Deterministic Sequencing of Exploration and Exploitation for Reinforcement Learning. CoRR abs/2209.05408 (2022) - [i29]Abhisek Satapathi, Narendra Kumar Dhar, Ashish R. Hota, Vaibhav Srivastava:
Coupled Evolutionary Behavioral and Disease Dynamics under Reinfection Risk. CoRR abs/2209.07348 (2022) - [i28]Vishal Abhishek, Vaibhav Srivastava:
SIS Epidemic Spreading under Multi-layer Population Dispersal in Patchy Environments. CoRR abs/2211.00169 (2022) - 2021
- [i27]Lai Wei, Andrew McDonald, Vaibhav Srivastava:
Regret Analysis of Distributed Gaussian Process Estimation and Coverage. CoRR abs/2101.04306 (2021) - [i26]Lai Wei, Vaibhav Srivastava:
Nonstationary Stochastic Multiarmed Bandits: UCB Policies and Minimax Regret. CoRR abs/2101.08980 (2021) - [i25]Zahra Aminzare, Vaibhav Srivastava:
Phase Reduction and Synchronization of Coupled Noisy Oscillators. CoRR abs/2103.04492 (2021) - [i24]Connor J. Boss, Vaibhav Srivastava:
In-flight actuator failure recovery of a hexrotor via multiple models and extended high-gain observers. CoRR abs/2103.10318 (2021) - [i23]Connor J. Boss, Vaibhav Srivastava:
A High-Gain Observer Approach to Robust Trajectory Estimation and Tracking for a Multi-rotor UAV. CoRR abs/2103.13429 (2021) - [i22]Nan Li, Kaixiang Zhang, Zhaojian Li, Vaibhav Srivastava, Xiang Yin:
Cloud-Assisted Nonlinear Model Predictive Control for Finite-Duration Tasks. CoRR abs/2106.10604 (2021) - [i21]Andrew McDonald, Lai Wei, Vaibhav Srivastava:
Online Estimation and Coverage Control with Heterogeneous Sensing Information. CoRR abs/2106.14984 (2021) - 2020
- [i20]Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
Distributed Cooperative Decision Making in Multi-agent Multi-armed Bandits. CoRR abs/2003.01312 (2020) - [i19]Yasir Khudhair Al-Nadawi, Hothaifa Al-Qassab, Daniel Kent, Su Pang, Vaibhav Srivastava, Hayder Radha:
Design of Robust Path-Following Control System for Self-driving Vehicles Using Extended High-Gain Observer. CoRR abs/2003.06333 (2020) - [i18]Vishal Abhishek, Vaibhav Srivastava:
SIS Epidemic Model under Mobility on Multi-layer Networks. CoRR abs/2003.06341 (2020) - [i17]Connor J. Boss, Vaibhav Srivastava, Hassan K. Khalil:
Robust tracking of an unknown trajectory with a multi-rotor UAV: A high-gain observer approach. CoRR abs/2003.06390 (2020) - [i16]Lai Wei, Xiaobo Tan, Vaibhav Srivastava:
Expedited Multi-Target Search with Guaranteed Performance via Multi-fidelity Gaussian Processes. CoRR abs/2005.08434 (2020) - [i15]Lai Wei, Vaibhav Srivastava:
Minimax Policy for Heavy-tailed Multi-armed Bandits. CoRR abs/2007.10493 (2020) - [i14]Yaofeng Desmond Zhong, Vaibhav Srivastava, Naomi Ehrich Leonard:
Influence Spread in the Heterogeneous Multiplex Linear Threshold Model. CoRR abs/2008.04383 (2020) - 2019
- [i13]Piyush Gupta, Shaunak D. Bopardikar, Vaibhav Srivastava:
Incentivizing Collaboration in Heterogeneous Teams via Common-Pool Resource Games. CoRR abs/1908.03938 (2019) - [i12]Vishal Abhishek, Vaibhav Srivastava:
On Epidemic Spreading under Mobility on Networks. CoRR abs/1909.02647 (2019) - 2018
- [i11]Lai Wei, Vaibhav Srivastava:
On Abruptly-Changing and Slowly-Varying Multiarmed Bandit Problems. CoRR abs/1802.08380 (2018) - [i10]Lai Wei, Vaibhav Srivastava:
On Distributed Multi-player Multiarmed Bandit Problems in Abruptly Changing Environment. CoRR abs/1812.05165 (2018) - 2016
- [i9]Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
Distributed Cooperative Decision-Making in Multiarmed Bandits: Frequentist and Bayesian Algorithms. CoRR abs/1606.00911 (2016) - 2015
- [i8]Vaibhav Srivastava, Paul Reverdy, Naomi Ehrich Leonard:
Correlated Multiarmed Bandit Problem: Bayesian Algorithms and Regret Analysis. CoRR abs/1507.01160 (2015) - [i7]Peter Landgren, Vaibhav Srivastava, Naomi Ehrich Leonard:
On Distributed Cooperative Decision-Making in Multiarmed Bandits. CoRR abs/1512.06888 (2015) - [i6]Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard:
Satisficing in multi-armed bandit problems. CoRR abs/1512.07638 (2015) - 2014
- [i5]Vaibhav Srivastava, Naomi Ehrich Leonard:
Collective Decision-Making in Ideal Networks: The Speed-Accuracy Tradeoff. CoRR abs/1402.3634 (2014) - 2013
- [i4]Paul Reverdy, Vaibhav Srivastava, Naomi Ehrich Leonard:
Modeling Human Decision-making in Generalized Gaussian Multi-armed Bandits. CoRR abs/1307.6134 (2013) - [i3]Vaibhav Srivastava, Amit Surana, Miguel P. Eckstein, Francesco Bullo:
Mixed Human-Robot Team Surveillance. CoRR abs/1311.2796 (2013) - 2012
- [i2]Vaibhav Srivastava, Fabio Pasqualetti, Francesco Bullo:
Stochastic Surveillance Strategies for Spatial Quickest Detection. CoRR abs/1210.3438 (2012) - 2009
- [i1]Vaibhav Srivastava, Kurt Plarre, Francesco Bullo:
Randomized Sensor Selection in Sequential Hypothesis Testing. CoRR abs/0909.1801 (2009)
Coauthor Index
Shaunak Dattaprasad Bopardikar
aka: Shaunak D. Bopardikar
aka: Shaunak D. Bopardikar
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