Sanjay Shakkottai

Orcid: 0000-0002-4325-9050

According to our database1, Sanjay Shakkottai authored at least 190 papers between 2000 and 2024.

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Awards

IEEE Fellow

IEEE Fellow 2014, "For contributions to the modeling, design, and analysis of wireless networks".

Timeline

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Bibliography

2024
Bandits with Stochastic Experts: Constant Regret, Empirical Experts and Episodes.
ACM Trans. Model. Perform. Evaluation Comput. Syst., September, 2024

Adaptive KL-UCB Based Bandit Algorithms for Markovian and I.I.D. Settings.
IEEE Trans. Autom. Control., April, 2024

A Lyapunov Theory for Finite-Sample Guarantees of Markovian Stochastic Approximation.
Oper. Res., 2024

RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control.
CoRR, 2024

In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness.
CoRR, 2024

Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Multiagent Low-Dimensional Linear Bandits.
IEEE Trans. Autom. Control., May, 2023

A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models.
CoRR, 2023

Darwin: Flexible Learning-based CDN Caching.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PAC Generalization via Invariant Representations.
Proceedings of the International Conference on Machine Learning, 2023

Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits.
Proceedings of the International Conference on Machine Learning, 2023

Meta-Learning for Image-Guided Millimeter-Wave Beam Selection in Unseen Environments.
Proceedings of the IEEE International Conference on Acoustics, 2023

InfoNCE Loss Provably Learns Cluster-Preserving Representations.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Meta-Scheduling for the Wireless Downlink Through Learning With Bandit Feedback.
IEEE/ACM Trans. Netw., 2022

Learning To Maximize Welfare with a Reusable Resource.
Proc. ACM Meas. Anal. Comput. Syst., 2022

Learning Certifiably Robust Controllers Using Fragile Perception.
CoRR, 2022

Bandit Learning-based Online User Clustering and Selection for Cellular Networks.
Proceedings of the 20th International Symposium on Modeling and Optimization in Mobile, 2022

Minimax Regret for Cascading Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FedAvg with Fine Tuning: Local Updates Lead to Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online learning for multi-agent based resource allocation in weakly coupled wireless systems.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

Linear Bandit Algorithms with Sublinear Time Complexity.
Proceedings of the International Conference on Machine Learning, 2022

Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation.
Proceedings of the International Conference on Machine Learning, 2022

MAML and ANIL Provably Learn Representations.
Proceedings of the International Conference on Machine Learning, 2022

Asymptotically-Optimal Gaussian Bandits with Side Observations.
Proceedings of the International Conference on Machine Learning, 2022

The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

How Does the Task Landscape Affect MAML Performance?
Proceedings of the Conference on Lifelong Learning Agents, 2022


Improved Algorithms for Misspecified Linear Markov Decision Processes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Auto-Tuning for Cellular Scheduling Through Bandit-Learning and Low-Dimensional Clustering.
IEEE/ACM Trans. Netw., 2021

Robust Multi-Agent Bandits Over Undirected Graphs.
Proc. ACM Meas. Anal. Comput. Syst., 2021

Online learning for hierarchical scheduling to support network slicing in cellular networks.
Perform. Evaluation, 2021

Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach.
Oper. Res., 2021

Episodic Bandits with Stochastic Experts.
CoRR, 2021

Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task?
CoRR, 2021

A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants.
CoRR, 2021

Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021

Robust Multi-Agent Multi-Armed Bandits.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021

Job Dispatching Policies for Queueing Systems with Unknown Service Rates.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021

Exploiting Shared Representations for Personalized Federated Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Combinatorial Blocking Bandits with Stochastic Delays.
Proceedings of the 38th International Conference on Machine Learning, 2021

HooVer: A Framework for Verification and Parameter Synthesis in Stochastic Systems using Optimistic Optimization.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021

Contextual Blocking Bandits.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks.
IEEE/ACM Trans. Netw., 2020

One-bit feedback is sufficient for upper confidence bound policies.
CoRR, 2020

Stochastic Linear Bandits with Protected Subspace.
CoRR, 2020

Why Does MAML Outperform ERM? An Optimization Perspective.
CoRR, 2020

Hellinger KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings.
CoRR, 2020

Multi-Agent Low-Dimensional Linear Bandits.
CoRR, 2020

Warm Starting Bandits with Side Information from Confounded Data.
CoRR, 2020

Distribution-Agnostic Model-Agnostic Meta-Learning.
CoRR, 2020

Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes.
CoRR, 2020

Applications of Common Entropy for Causal Inference.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Task-Robust Model-Agnostic Meta-Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Social Learning in Multi Agent Multi Armed Bandits.
Proc. ACM Meas. Anal. Comput. Syst., 2019

Optimistic Optimization for Statistical Model Checking with Regret Bounds.
CoRR, 2019

Importance Weighted Generative Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Blocking Bandits.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Side-information-aided Noncoherent Beam Alignment Design for Millimeter Wave Systems.
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

Online Channel-state Clustering And Multiuser Capacity Learning For Wireless Scheduling.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Switching Constrained Max-Weight Scheduling for Wireless Networks.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Pareto Optimal Streaming Unsupervised Classification.
Proceedings of the 36th International Conference on Machine Learning, 2019

Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Augmenting Max-Weight With Explicit Learning for Wireless Scheduling With Switching Costs.
IEEE/ACM Trans. Netw., 2018

Adaptive TTL-Based Caching for Content Delivery.
IEEE/ACM Trans. Netw., 2018

Searching for a Single Community in a Graph.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2018

Detecting Cascades from Weak Signatures.
IEEE Trans. Netw. Sci. Eng., 2018

Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach.
CoRR, 2018

Entropic Latent Variable Discovery.
CoRR, 2018

The Shape of Alerts: Detecting Malware Using Distributed Detectors by Robustly Amplifying Transient Correlations.
CoRR, 2018

On Learning the cμ Rule: Single and Multiserver Settings.
CoRR, 2018

Multi-Fidelity Black-Box Optimization with Hierarchical Partitions.
Proceedings of the 35th International Conference on Machine Learning, 2018

On Learning the cμ Rule in Single and Parallel Server Networks.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Contextual Bandits with Stochastic Experts.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Scheduling in Densified Networks: Algorithms and Performance.
IEEE/ACM Trans. Netw., 2017

The Search Problem in Mixture Models.
J. Mach. Learn. Res., 2017

Exploiting Latent Attack Semantics for Intelligent Malware Detection.
CoRR, 2017

Causal Best Intervention Identification via Importance Sampling.
CoRR, 2017

Model-Powered Conditional Independence Test.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Identifying Best Interventions through Online Importance Sampling.
Proceedings of the 34th International Conference on Machine Learning, 2017

Contextual Bandits with Latent Confounders: An NMF Approach.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Online Load Balancing Under Graph Constraints.
IEEE/ACM Trans. Netw., 2016

Detecting Sponsored Recommendations.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016

Scheduling Storms and Streams in the Cloud.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016

Online Collaborative Filtering on Graphs.
Oper. Res., 2016

Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach.
CoRR, 2016

Regret of Queueing Bandits.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
MaxWeight Versus BackPressure: Routing and Scheduling in Multichannel Relay Networks.
IEEE/ACM Trans. Netw., 2015

Improved Greedy Algorithms for Learning Graphical Models.
IEEE Trans. Inf. Theory, 2015

Distinguishing Infections on Different Graph Topologies.
IEEE Trans. Inf. Theory, 2015

Serving content with unknown demand: the high-dimensional regime.
Queueing Syst. Theory Appl., 2015

Wireless scheduling with partial channel state information: large deviations and optimality.
Queueing Syst. Theory Appl., 2015

Spectrum sharing and scheduling in D2D-enabled dense cellular networks.
Proceedings of the 13th International Symposium on Modeling and Optimization in Mobile, 2015

Localized Epidemic Detection in Networks with Overwhelming Noise.
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

Local detection of infections in heterogeneous networks.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

2014
Scheduling in Multi-Channel Wireless Networks: Rate Function Optimality in the Small-Buffer Regime.
IEEE Trans. Inf. Theory, 2014

Epidemic Spreading With External Agents.
IEEE Trans. Inf. Theory, 2014

Topic modeling from network spread.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014

The behavior of epidemics under bounded susceptibility.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014

Epidemic thresholds with external agents.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Message from TPC chairs.
Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

Overlap graph clustering via successive removal.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
FlashLinQ: A Synchronous Distributed Scheduler for Peer-to-Peer Ad Hoc Networks.
IEEE/ACM Trans. Netw., 2013

On the Role of Mobility for Multimessage Gossip.
IEEE Trans. Inf. Theory, 2013

On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling.
IEEE Trans. Autom. Control., 2013

Detecting epidemics using highly noisy data.
Proceedings of the Fourteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2013

MaxWeight vs. BackPressure: Routing and scheduling in multi-channel relay networks.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

2012
Timescale Decoupled Routing and Rate Control in Intermittently Connected Networks.
IEEE/ACM Trans. Netw., 2012

Low-Complexity Scheduling Algorithms for Multichannel Downlink Wireless Networks.
IEEE/ACM Trans. Netw., 2012

On Wireless Scheduling With Partial Channel-State Information.
IEEE Trans. Inf. Theory, 2012

Scheduling in Mobile Ad Hoc Networks With Topology and Channel-State Uncertainty.
IEEE Trans. Autom. Control., 2012

Many Flows Asymptotics for SMART Scheduling Policies.
IEEE Trans. Autom. Control., 2012

On distributed scheduling with heterogeneously delayed network-state information.
Queueing Syst. Theory Appl., 2012

Towards a queueing-based framework for in-network function computation.
Queueing Syst. Theory Appl., 2012

On optimizing CSMA for wide area ad hoc networks.
Queueing Syst. Theory Appl., 2012

On the Role of Mobility for Multi-message Gossip
CoRR, 2012

Network forensics: random infection vs spreading epidemic.
Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012

On the effect of channel fading on greedy scheduling.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Low-delay wireless scheduling with partial channel-state information.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

On the design of device-to-device autonomous discovery.
Proceedings of the Fourth International Conference on Communication Systems and Networks, 2012

Greedy learning of graphical models with small girth.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

On identifying the causative network of an epidemic.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
On combining shortest-path and back-pressure routing over multihop wireless networks.
IEEE/ACM Trans. Netw., 2011

On Throughput Optimality With Delayed Network-State Information.
IEEE Trans. Inf. Theory, 2011

On Efficient Data Transport with Mobile Carriers.
IEEE J. Sel. Areas Commun., 2011

On Sharing Viral Video over an Ad Hoc Wireless Network
CoRR, 2011

On file sharing over a wireless social network.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Random mobility and the spread of infection.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Sharing multiple messages over mobile networks.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Scheduling for small delay in multi-rate multi-channel wireless networks.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

2010
MAC Scheduling With Low Overheads by Learning Neighborhood Contention Patterns.
IEEE/ACM Trans. Netw., 2010

Geographic routing with limited information in sensor networks.
IEEE Trans. Inf. Theory, 2010

Buffer Asymptotics for Coding Over Networks.
IEEE Trans. Inf. Theory, 2010

Back-pressure routing and rate control for ICNs.
Proceedings of the 16th Annual International Conference on Mobile Computing and Networking, 2010

On Scheduling for Minimizing End-to-End Buffer Usage over Multihop Wireless Networks.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

Back-Pressure Routing for Intermittently Connected Networks.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

Low-complexity Scheduling Algorithms for Multi-channel Downlink Wireless Networks.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

Wireless scheduling with heterogeneously delayed network-state information.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Greedy learning of Markov network structure.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
On the Elasticity of Marking Functions in an Integrated Network.
IEEE Trans. Autom. Control., 2009

On Combining Shortest-Path and Back-Pressure Routing Over Multihop Wireless Networks.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

Routing Over Multi-Hop Wireless Networks with Non-Ergodic Mobility.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

TCP with feed-forward source coding for wireless downlink networks.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Broadcasting in sensor networks: the role of local information.
IEEE/ACM Trans. Netw., 2008

Communication Through Jamming Over a Slotted ALOHA Channel.
IEEE Trans. Inf. Theory, 2008

Effective Capacity and QoS for Wireless Scheduling.
IEEE Trans. Autom. Control., 2008

Rethinking information theory for mobile ad hoc networks.
IEEE Commun. Mag., 2008

Optimal Geographic Routing for Wireless Networks with Near-Arbitrary Holes and Traffic.
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008

Distributed power control in wireless ad hoc networks using message passing: Throughput optimality and network utility maximization.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

2007
Hop-by-hop congestion control over a wireless multi-hop network.
IEEE/ACM Trans. Netw., 2007

FluNet: A hybrid internet simulator for fast queue regimes.
Comput. Networks, 2007

Scaling Bounds for Function Computation over Large Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2007

On Optimal MAC Scheduling With Physical Interference.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

On Optimal Geographic Routing in Wireless Networks with Holes and Non-Uniform Traffic.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

Oblivious Routing with Mobile Fusion Centers over a Sensor Network.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

Balancing performance and fairness using finite-SRPT.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Time-scale decomposition and equivalent rate-based marking.
IEEE/ACM Trans. Netw., 2006

Min-Cost Selfish Multicast With Network Coding.
IEEE Trans. Inf. Theory, 2006

Asymptotic Evaluation of Delay in the SRPT Scheduler.
IEEE Trans. Autom. Control., 2006

Optimal power allocation for a time-varying wireless channel under heavy-traffic approximation.
IEEE Trans. Autom. Control., 2006

Transmit Precoding for the Multiple Antenna Broadcast Channel.
Proceedings of the 63rd IEEE Vehicular Technology Conference, 2006

Tail asymptotics for policies favoring short jobs in a many-flows regime.
Proceedings of the Joint International Conference on Measurement and Modeling of Computer Systems, 2006

On Network Coding for Interference Networks.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Looking at Large Networks: Coding vs. Queueing.
Proceedings of the INFOCOM 2006. 25th IEEE International Conference on Computer Communications, 2006

Fast Matching Algorithms for Repetitive Optimization: An Application to Switch Scheduling.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

2005
Asymptotics of search strategies over a sensor network.
IEEE Trans. Autom. Control., 2005

Asymptotic Behavior of Internet Congestion Controllers in a Many-Flows Regime.
Math. Oper. Res., 2005

Unreliable sensor grids: coverage, connectivity and diameter.
Ad Hoc Networks, 2005

2004
Mean FDE Models for Internet Congestion Control Under a Many-Flows Regime.
IEEE Trans. Inf. Theory, 2004

Asymptotics of Query Strategies over a Sensor Network.
Proceedings of the Proceedings IEEE INFOCOM 2004, 2004

Practical Costa precoding for the multiple antenna broadcast channel.
Proceedings of the Global Telecommunications Conference, 2004. GLOBECOM '04, Dallas, Texas, USA, 29 November, 2004

Delay asymptotics of the SRPT scheduler.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003
Bounds on the throughput of congestion controllers in the presence of feedback delay.
IEEE/ACM Trans. Netw., 2003

Cross-layer design for wireless networks.
IEEE Commun. Mag., 2003

Stability and Convergence of TCP-like Congestion Controllers in a Many-Flows Regime.
Proceedings of the Proceedings IEEE INFOCOM 2003, The 22nd Annual Joint Conference of the IEEE Computer and Communications Societies, San Franciso, CA, USA, March 30, 2003

2002
Resource Allocation for Quality of Service in a Heterogeneous Network
PhD thesis, 2002

Scheduling Real-Time Traffic With Deadlines over a Wireless Channel.
Wirel. Networks, 2002

How Good are Deterministic Fluid Models of Internet Congestion Control?
Proceedings of the Proceedings IEEE INFOCOM 2002, 2002

2001
TCP performance over end-to-end rate control and stochastic available capacity.
IEEE/ACM Trans. Netw., 2001

Many-Sources Delay Asymptotics with Applications to Priority Queues.
Queueing Syst. Theory Appl., 2001

Deterministic fluid models of congestion control in high-speed networks.
Proceedings of the 33nd conference on Winter simulation, 2001

Boundedness of utility function based congestion controllers in the presence of delay.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
Delay asymptotics for a priority queueing system.
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, 2000


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