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Nicholas Bambos
Nick Bambos
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- affiliation: Stanford University, USA
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2020 – today
- 2024
- [j59]Ilai Bistritz, Nicholas Bambos:
Gamekeeper: Online Learning for Admission Control of Networked Open Multiagent Systems. IEEE Trans. Autom. Control. 69(11): 7694-7709 (2024) - [c179]Emi Zeger, Nicholas Bambos, Mert Pilanci:
Power-Managed Data Centers for Sustainable Computing. ICC 2024: 2833-2839 - [i21]Siddharth Chandak, Isha Thapa, Nicholas Bambos, David Scheinker:
Tiered Service Architecture for Remote Patient Monitoring. CoRR abs/2406.18000 (2024) - [i20]Siddharth Chandak, Ilai Bistritz, Nicholas Bambos:
Learning to Control Unknown Strongly Monotone Games. CoRR abs/2407.00575 (2024) - 2023
- [j58]Batchen Eden, Ilai Bistritz, Nicholas Bambos, Irad Ben-Gal, Evgeni Khmelnitsky:
Personalized and Energy-Efficient Health Monitoring: A Reinforcement Learning Approach. IEEE Control. Syst. Lett. 7: 955-960 (2023) - [c178]Kyriakos Lotidis, Nicholas Bambos, Jose H. Blanchet, Jiajin Li:
Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints. AISTATS 2023: 8629-8644 - [c177]Siddharth Chandak, Ilai Bistritz, Nicholas Bambos:
Equilibrium Bandits: Learning Optimal Equilibria of Unknown Dynamics. AAMAS 2023: 1336-1344 - [c176]Ilai Bistritz, Nicholas Bambos:
Admission Control for Games with a Dynamic Set of Players. CDC 2023: 1219-1224 - [c175]Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos:
The Stability of Matrix Multiplicative Weights Dynamics in Quantum Games. CDC 2023: 1225-1232 - [c174]Siddharth Chandak, Ilai Bistritz, Nicholas Bambos:
Tug of Peace: Distributed Learning for Quality of Service Guarantees. CDC 2023: 2346-2351 - [c173]Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose H. Blanchet:
Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games. NeurIPS 2023 - [i19]Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos:
Learning in quantum games. CoRR abs/2302.02333 (2023) - [i18]Siddharth Chandak, Ilai Bistritz, Nicholas Bambos:
Equilibrium Bandits: Learning Optimal Equilibria of Unknown Dynamics. CoRR abs/2302.13653 (2023) - [i17]Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose H. Blanchet:
Payoff-based learning with matrix multiplicative weights in quantum games. CoRR abs/2311.02423 (2023) - 2022
- [j57]Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, José H. Blanchet:
No Weighted-Regret Learning in Adversarial Bandits with Delays. J. Mach. Learn. Res. 23: 139:1-139:43 (2022) - [j56]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye:
Distributed Stochastic Optimization with Large Delays. Math. Oper. Res. 47(3): 2082-2111 (2022) - [j55]Ilai Bistritz, Andrew Ward, Zhengyuan Zhou, Nicholas Bambos:
Smart Greedy Distributed Energy Allocation: A Random Games Approach. IEEE Trans. Autom. Control. 67(5): 2208-2220 (2022) - [c172]Ariana J. Mann, Nicholas Bambos:
Power-Optimized Processor Slowdown Control. CDC 2022: 1803-1809 - [c171]Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos:
Learning in Games with Quantized Payoff Observations. CDC 2022: 3129-3136 - [c170]Emi Zeger, Ariana J. Mann, Nicholas Bambos:
Framed Projective Cone Scheduling: Latency vs. Context-Switching Tradeoff in Data Centers. GLOBECOM 2022: 5444-5450 - [c169]Ariana J. Mann, Ilai Bistritz, Nicholas Bambos:
Active Testing for an Emerging Epidemic. HealthCom 2022: 7-12 - [c168]Ariana J. Mann, Nicholas Bambos:
Weak-Supervision for Prolonged Hospital Length of Stay Prediction. HealthCom 2022: 199-204 - [c167]Ariana J. Mann, Nicholas Bambos:
Power-Controlled Job Slowdown in Data Centers. ICC 2022: 1214-1219 - [c166]Ilai Bistritz, Nicholas Bambos:
Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits. NeurIPS 2022 - [i16]Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos:
Learning in Games with Quantized Payoff Observations. CoRR abs/2209.04926 (2022) - 2021
- [j54]Zhengyuan Zhou, Panayotis Mertikopoulos, Aris L. Moustakas, Nicholas Bambos, Peter W. Glynn:
Robust Power Management via Learning and Game Design. Oper. Res. 69(1): 331-345 (2021) - [j53]Ilai Bistritz, Tavor Z. Baharav, Amir Leshem, Nicholas Bambos:
One for All and All for One: Distributed Learning of Fair Allocations With Multi-Player Bandits. IEEE J. Sel. Areas Inf. Theory 2(2): 584-598 (2021) - [j52]Yair Bar David, Tal Geller, Ilai Bistritz, Irad Ben-Gal, Nicholas Bambos, Evgeni Khmelnitsky:
Wireless Body Area Network Control Policies for Energy-Efficient Health Monitoring. Sensors 21(12): 4245 (2021) - [j51]Ilai Bistritz, Nicholas Bambos:
Consensus-Based Stochastic Control for Model-Free Cell Balancing. IEEE Trans. Control. Netw. Syst. 8(3): 1139-1150 (2021) - [c165]Kyriakos Lotidis, Aris L. Moustakas, Nicholas Bambos:
Controlling Epidemics via Testing. CDC 2021: 2092-2097 - [c164]Ilai Bistritz, Nicholas Bambos:
Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games. ICML 2021: 968-979 - [i15]Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose H. Blanchet:
No Discounted-Regret Learning in Adversarial Bandits with Delays. CoRR abs/2103.04550 (2021) - [i14]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye:
Distributed stochastic optimization with large delays. CoRR abs/2107.02919 (2021) - 2020
- [j50]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn:
On the Convergence of Mirror Descent beyond Stochastic Convex Programming. SIAM J. Optim. 30(1): 687-716 (2020) - [c163]Andrew Ward, Ariana J. Mann, Jacqueline Vallon, Gabriel J. Escobar, Nicholas Bambos, Alejandro Schuler:
Operationally-Informed Hospital-Wide Discharge Prediction Using Machine Learning. HealthCom 2020: 1-6 - [c162]Ilai Bistritz, Tavor Z. Baharav, Amir Leshem, Nicholas Bambos:
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits. ICML 2020: 930-940 - [c161]Ilai Bistritz, Nicholas Bambos:
Cooperative Multi-player Bandit Optimization. NeurIPS 2020 - [c160]Ilai Bistritz, Ariana J. Mann, Nicholas Bambos:
Distributed Distillation for On-Device Learning. NeurIPS 2020 - [i13]Ilai Bistritz, Tavor Z. Baharav, Amir Leshem, Nicholas Bambos:
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits. CoRR abs/2002.09808 (2020)
2010 – 2019
- 2019
- [j49]Irad Ben-Gal, Shahar Weinstock, Gonen Singer, Nicholas Bambos:
Clustering Users by Their Mobility Behavioral Patterns. ACM Trans. Knowl. Discov. Data 13(4): 45:1-45:28 (2019) - [c159]Andrew Ward, Neal Master, Nicholas Bambos:
Learning to Emulate an Expert Projective Cone Scheduler. ACC 2019: 292-297 - [c158]Ilai Bistritz, Nicholas Bambos, Dor Kahana, Irad Ben-Gal, Dan Yamin:
Controlling Contact Network Topology to Prevent Measles Outbreaks. GLOBECOM 2019: 1-6 - [c157]Daniel Miller, Andrew Ward, Nicholas Bambos, Andrew Young Shin, David Scheinker:
Noninvasive Identification of Hypotension Using Convolutional-Deconvolutional Networks. HealthCom 2019: 1-6 - [c156]Ilai Bistritz, Nicholas Bambos:
The Power of Consensus: Optimal Distributed Multichannel Wireless Transmitter Power Control. ICC 2019: 1-6 - [c155]Ilai Bistritz, Andrew Ward, Zhengyuan Zhou, Nicholas Bambos:
Smart Greedy Distributed Allocation in Microgrids. ICC 2019: 1-6 - [c154]Tal Geller, Yair Bar David, Evgeni Khmelnitsky, Irad Ben-Gal, Andrew Ward, Daniel Miller, Nicholas Bambos:
Learning Health State Transition Probabilities via Wireless Body Area Networks. ICC 2019: 1-6 - [c153]Andrew Ward, Zhengyuan Zhou, Nicholas Bambos, Ellen Wang, David Scheinker:
Anesthesiologist Surgery Assignments using Policy Learning. ICC 2019: 1-6 - [c152]Andrew Ward, Zhengyuan Zhou, Nicholas Bambos:
Bidding-Based Dynamic Power Pricing Scheme in Smart Grids. ICNC 2019: 729-734 - [c151]Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose H. Blanchet:
Online EXP3 Learning in Adversarial Bandits with Delayed Feedback. NeurIPS 2019: 11345-11354 - [c150]Ilai Bistritz, Nicholas Bambos:
Asymptotically Optimal Distributed Gateway Load-Balancing for the Internet of Things. NOF 2019: 98-101 - 2018
- [j48]Zhengyuan Zhou, Nicholas Bambos, Peter W. Glynn:
Deterministic and Stochastic Wireless Network Games: Equilibrium, Dynamics, and Price of Anarchy. Oper. Res. 66(6): 1498-1516 (2018) - [j47]Zhengyuan Zhou, Michael Bloem, Nicholas Bambos:
Infinite Time Horizon Maximum Causal Entropy Inverse Reinforcement Learning. IEEE Trans. Autom. Control. 63(9): 2787-2802 (2018) - [c149]Saied Mehdian, Zhengyuan Zhou, Nicholas Bambos:
Robustness of Join-the-Shortest-Queue Scheduling to Communication Delay. ACC 2018: 3708-3713 - [c148]Daniel Miller, Zhengyuan Zhou, Nicholas Bambos, Irad Ben-Gal:
Sensing-Constrained Power Control in Digital Health. ACC 2018: 4213-4220 - [c147]Yair Bar David, Tal Geller, Evgeni Khmelnitsky, Irad Ben-Gal, Andrew Ward, Daniel Miller, Nicholas Bambos:
Optimal Health Monitoring via Wireless Body Area Networks. CDC 2018: 6800-6805 - [c146]Andrew Ward, Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos:
Power Control with Random Delays: Robust Feedback Averaging. CDC 2018: 7040-7045 - [c145]Daniel Miller, Andrew Ward, Nicholas Bambos:
Automatic Sleep Arousal Identification From Physiological Waveforms Using Deep Learning. CinC 2018: 1-4 - [c144]Daniel Miller, Andrew Ward, Nicholas Bambos, David Scheinker, Andrew Young Shin:
Physiological Waveform Imputation of Missing Data using Convolutional Autoencoders. HealthCom 2018: 1-6 - [c143]Daniel Miller, Zhengyuan Zhou, Nicholas Bambos, Irad Ben-Gal:
Optimal Sensing for Patient Health Monitoring. ICC 2018: 1-7 - [c142]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei:
Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? ICML 2018: 5965-5974 - [c141]Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey, Nicholas Bambos, Peter W. Glynn, Yinyu Ye:
Learning in Games with Lossy Feedback. NeurIPS 2018: 5140-5150 - 2017
- [j46]Neal Master, Zhengyuan Zhou, Daniel Miller, David Scheinker, Nicholas Bambos, Peter W. Glynn:
Improving predictions of pediatric surgical durations with supervised learning. Int. J. Data Sci. Anal. 4(1): 35-52 (2017) - [j45]Hajime Kanzaki, Kevin Schubert, Nicholas Bambos:
Video streaming schemes for industrial IoT. J. Reliab. Intell. Environ. 3(4): 233-241 (2017) - [j44]Li Xia, Daniel Miller, Zhengyuan Zhou, Nicholas Bambos:
Service Rate Control of Tandem Queues With Power Constraints. IEEE Trans. Autom. Control. 62(10): 5111-5123 (2017) - [c140]Saied Mehdian, Zhengyuan Zhou, Nicholas Bambos:
Join-the-shortest-queue scheduling with delay. ACC 2017: 1747-1752 - [c139]Neal Master, Zhengyuan Zhou, Nicholas Bambos:
An infinite dimensional model for a single server priority queue. ACC 2017: 1753-1758 - [c138]Kevin Schubert, Neal Master, Zhengyuan Zhou, Nicholas Bambos:
Asynchronous best-response dynamics for resource allocation games in cloud computing. ACC 2017: 4613-4618 - [c137]Andrew Ward, Neal Master, Nicholas Bambos:
Classical communication network design via quantum heuristics. CDC 2017: 3967-3973 - [c136]Zhengyuan Zhou, Panayotis Mertikopoulos, Aris L. Moustakas, Nicholas Bambos, Peter W. Glynn:
Mirror descent learning in continuous games. CDC 2017: 5776-5783 - [c135]Neal Master, Zhengyuan Zhou, Nicholas Bambos:
An infinite dimensional model for a many server priority queue. CISS 2017: 1-6 - [c134]Zhengyuan Zhou, Panayotis Mertikopoulos, Aris L. Moustakas, Saied Mehdian, Nicholas Bambos, Peter W. Glynn:
Stable Power Control in Wireless Networks via Dual Averaging. GLOBECOM 2017: 1-6 - [c133]Hajime Kanzaki, Kevin Schubert, Nicholas Bambos:
Video Streaming Schemes for Industrial IoT. ICCCN 2017: 1-7 - [c132]Neal Master, Nicholas Bambos:
Cost-sensitive security risk management for large-scale computing infrastructures. ICNC 2017: 115-119 - [c131]Daniel Miller, Li Xia, Zhengyuan Zhou, Nicholas Bambos:
Dynamic control of data center network and computation resources. ICNC 2017: 374-380 - [c130]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Claire J. Tomlin:
Countering Feedback Delays in Multi-Agent Learning. NIPS 2017: 6171-6181 - [c129]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn:
Stochastic Mirror Descent in Variationally Coherent Optimization Problems. NIPS 2017: 7040-7049 - [c128]Maria Dimakopoulou, Nicholas Bambos, Martin Valdez-Vivas, John G. Apostolopoulos:
Market-based dynamic service mode switching in virtualized wireless networks. PIMRC 2017: 1-7 - [c127]Saied Mehdian, Zhengyuan Zhou, Nicholas Bambos:
Longest-queue-first scheduling with intermittent sampling. PIMRC 2017: 1-5 - [c126]Aris L. Moustakas, Panayotis Mertikopoulos, Zhengyuan Zhou, Nick Bambos:
Least action routing: Identifying the optimal path in a wireless relay network. PIMRC 2017: 1-5 - [c125]Kevin Schubert, Nicholas Bambos:
Wireless channel selection with non-invasive power probing. WTS 2017: 1-5 - [i12]Neal Master, Zhengyuan Zhou, Nicholas Bambos:
An Infinite Dimensional Model for a Many Server Priority Queue. CoRR abs/1701.01328 (2017) - [i11]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen P. Boyd, Peter W. Glynn:
Mirror descent in non-convex stochastic programming. CoRR abs/1706.05681 (2017) - 2016
- [j43]Neal Master, Nicholas Bambos:
Power control for packet streaming with head-of-line deadlines. Perform. Evaluation 106: 1-18 (2016) - [j42]Carri W. Chan, Mor Armony, Nicholas Bambos:
Maximum weight matching with hysteresis in overloaded queues with setups. Queueing Syst. Theory Appl. 82(3-4): 315-351 (2016) - [j41]Aris L. Moustakas, Panayotis Mertikopoulos, Nicholas Bambos:
Power Optimization in Random Wireless Networks. IEEE Trans. Inf. Theory 62(9): 5030-5058 (2016) - [j40]Neal Master, Aditya Dua, Dimitrios Tsamis, Jatinder Pal Singh, Nicholas Bambos:
Adaptive Prefetching in Wireless Computing. IEEE Trans. Wirel. Commun. 15(5): 3296-3310 (2016) - [c124]Zhengyuan Zhou, Benjamin Yolken, Reiko Ann Miura-Ko, Nicholas Bambos:
A game-theoretical formulation of influence networks. ACC 2016: 3802-3807 - [c123]Zhengyuan Zhou, Peter W. Glynn, Nicholas Bambos:
Repeated games for power control in wireless communications: Equilibrium and regret. CDC 2016: 3603-3610 - [c122]Neal Master, Nicholas Bambos:
Infinite server queueing networks with deadline based routing. CDC 2016: 5360-5366 - [c121]Zhengyuan Zhou, Daniel Miller, Neal Master, David Scheinker, Nicholas Bambos, Peter W. Glynn:
Detecting Inaccurate Predictions of Pediatric Surgical Durations. DSAA 2016: 452-457 - [c120]Zhengyuan Zhou, Nicholas Bambos, Peter W. Glynn:
Dynamics on Linear Influence Network Games Under Stochastic Environments. GameSec 2016: 114-126 - [c119]Zhengyuan Zhou, Daniel Miller, Nicholas Bambos, Peter W. Glynn:
A Stochastic Stability Characterization of the Foschini-Miljanic Algorithm in Random Wireless Networks. GLOBECOM 2016: 1-6 - [c118]Nicholas Bambos, Kevin Schubert:
Wireless power controlled TCP with holdover. ICC 2016: 1-6 - [c117]Kevin Schubert, Nicholas Bambos:
Data aggregation for low power wireless devices. MILCOM 2016: 97-102 - [c116]Maria Dimakopoulou, Stéphane Eranian, Nectarios Koziris, Nicholas Bambos:
Reliable and efficient performance monitoring in linux. SC 2016: 396-408 - [i10]Neal Master, Carri W. Chan, Nicholas Bambos:
Myopic Policies for Non-Preemptive Scheduling of Jobs with Decaying Value. CoRR abs/1606.04136 (2016) - [i9]Neal Master, Nicholas Bambos:
Infinite Server Queueing Networks with Deadline Based Routing. CoRR abs/1609.05750 (2016) - [i8]Neal Master, Zhengyuan Zhou, Nicholas Bambos:
An Infinite Dimensional Model for A Single Server Priority Queue. CoRR abs/1609.07996 (2016) - [i7]Neal Master, Nicholas Bambos:
Power Control for Packet Streaming with Head-of-Line Deadlines. CoRR abs/1610.04919 (2016) - 2015
- [j39]Michael Bloem, Nicholas Bambos:
Ground Delay Program Analytics with Behavioral Cloning and Inverse Reinforcement Learning. J. Aerosp. Inf. Syst. 12(3): 299-313 (2015) - [j38]Kevin Ross, Nicholas Bambos, George Michailidis:
Cone Schedules for Processing Systems in Fluctuating Environments. IEEE Trans. Autom. Control. 60(10): 2710-2715 (2015) - [c115]Zhengyuan Zhou, Nicholas Bambos:
A general model for resource allocation in utility computing. ACC 2015: 1746-1751 - [c114]Neal Master, Nicholas Bambos:
Service rate control for jobs with decaying value neal master and nicholas bambos. ACC 2015: 3255-3260 - [c113]Neal Master, Nicholas Bambos:
Low latency policy iteration via parallel processing and randomization. CDC 2015: 1084-1091 - [c112]Aman Sinha, John C. Duchi, Nicholas Bambos:
Dynamic management of network risk from epidemic phenomena. CDC 2015: 1583-1588 - [c111]Zhengyuan Zhou, Nicholas Bambos:
Wireless communications games in fixed and random environments. CDC 2015: 1637-1642 - [c110]Zhengyuan Zhou, Nicholas Bambos:
Target-rate driven resource sharing in queueing systems. CDC 2015: 4940-4945 - [c109]Daniel Miller, Neal Master, Zhengyuan Zhou, Nicholas Bambos:
Scalable Data Center Power Management via a Global Stress Signal. GLOBECOM 2015: 1-7 - [c108]Hideki Endo, Kevin Schubert, Nicholas Bambos:
Channel Responsive wireless TCP. ICC 2015: 3622-3627 - 2014
- [j37]Peter Dely, Andreas Kassler, Lawrence Chow, Nicholas Bambos, Nico Bayer, Hans Joachim Einsiedler, Christoph Peylo:
BEST-AP: Non-intrusive estimation of available bandwidth and its application for dynamic access point selection. Comput. Commun. 39: 78-91 (2014) - [j36]Lawrence Chow, Nicholas Bambos, Alex Gilman, Ajay Chander:
Personalized Monitors for Real-Time Detection of Physiological States. Int. J. E Health Medical Commun. 5(4): 1-19 (2014) - [j35]Michael Bloem, Nicholas Bambos:
Air Traffic Control Area Configuration Advisories from Near-Optimal Distinct Paths. J. Aerosp. Inf. Syst. 11(11): 764-784 (2014) - [c107]Michael Bloem, Nicholas Bambos:
Infinite time horizon maximum causal entropy inverse reinforcement learning. CDC 2014: 4911-4916 - [c106]Neal Master, Nicholas Bambos:
Randomized iterations for low latency fixed point computation. CDC 2014: 5208-5215 - [c105]Martin Valdez-Vivas, Nicholas Bambos, John G. Apostolopoulos:
Resource management in cloud computing with frictions and congestion weather. GLOBECOM 2014: 2344-2350 - [c104]Jeffrey Mounzer, Kevin Schubert, Nicholas Bambos, Andrea Goldsmith:
Power-controlled multiple access with a queue-dependent backoff threshold. GLOBECOM 2014: 4738-4744 - [c103]Neal Master, Nicholas Bambos:
Power control for wireless streaming with HOL packet deadlines. ICC 2014: 2263-2269 - [c102]