Sequential paging of mobile users in GSM cellular networks-a POMDP approach. - Vikram Krishnamurthy; Sumeetpal S. Singh (GLOBECOM, 2000)

Adaptive forgetting factor recursive least squares for blind interference suppression in DS/CDMA systems. - Vikram Krishnamurthy; Sumeetpal S. Singh (ICASSP, 2000)

Partially observed stochastic shortest path problem - application to sequential paging in cellular networks. - Sumeetpal S. Singh; Vikram Krishnamurthy (CDC, 2001)

Admission control for DS-CDMA systems with fading. - Sumeetpal S. Singh; Vikram Krishnamurthy; H. Vincent Poor (GLOBECOM, 2001)

Adaptive step-size algorithms for blind interference suppression in DS/CDMA systems. - Vikram Krishnamurthy; Gang George Yin; Sumeetpal S. Singh (IEEE Trans. Signal Process., 2001)

Optimal call access control for DS-CDMA cellular networks. - Sumeetpal S. Singh; Vikram Krishnamurthy (ICASSP, 2002)

Integrated voice/data call admission control for wireless DS-CDMA systems. - Sumeetpal S. Singh; Vikram Krishnamurthy; H. Vincent Poor (IEEE Trans. Signal Process., 2002)

Two time-scale stochastic approximation for constrained stochastic optimization and constrained Markov decision problems. - Vladislav Z. B. Tadic; Arnaud Doucet; Sumeetpal S. Singh (ACC, 2003)

Stochastic approximation for optimal observer trajectory planning. - Sumeetpal S. Singh; Ba-Ngu Vo; Arnaud Doucet; Robin J. Evans 001 (CDC, 2003)

Adaptive envelope-constrained filtering. - Ba-Ngu Vo; Sumeetpal S. Singh; Vladislav Z. B. Tadic (ICASSP (6), 2003)

The optimal search for a Markovian target when the search path is constrained: the infinite-horizon case. - Sumeetpal S. Singh; Vikram Krishnamurthy (IEEE Trans. Autom. Control., 2003)

Tracking multiple speakers using random sets. - Ba-Ngu Vo; Sumeetpal S. Singh; Wing-Kin Ma (ICASSP (2), 2004)

The cross-entropy method for blind multiuser detection. - Zaifei Liu; Arnaud Doucet; Sumeetpal S. Singh (ISIT, 2004)

Particle methods for change detection, system identification, and control. - Christophe Andrieu; Arnaud Doucet; Sumeetpal S. Singh; Vladislav Z. B. Tadic (Proc. IEEE, 2004)

Particle methods for optimal filter derivative: application to parameter estimation. - George Poyiadjis; Arnaud Doucet; Sumeetpal S. Singh (ICASSP (5), 2005)

Localizing an unknown time-varying number of speakers: a Bayesian random finite set approach. - Ba-Ngu Vo; Wing-Kin Ma; Sumeetpal S. Singh (ICASSP (4), 2005)

Gradient-free maximum likelihood parameter estimation with particle filters. - George Poyiadjis; Sumeetpal S. Singh; Arnaud Doucet (ACC, 2006)

A Distributed Recursive Maximum Likelihood Implementation for Sensor Registration. - Nikolaos Kantas; Sumeetpal S. Singh; Arnaud Doucet (FUSION, 2006)

Particle Filter as A Controlled Markov Chain For On-Line Parameter Estimation in General State Space Models. - George Poyiadjis; Sumeetpal S. Singh; Arnaud Doucet (ICASSP (3), 2006)

Tracking an unknown time-varying number of speakers using TDOA measurements: a random finite set approach. - Wing-Kin Ma; Ba-Ngu Vo; Sumeetpal S. Singh; Adrian J. Baddeley (IEEE Trans. Signal Process., 2006)

Simulation-based optimal sensor scheduling with application to observer trajectory planning. - Sumeetpal S. Singh; Nikolaos Kantas; Ba-Ngu Vo; Arnaud Doucet; Robin J. Evans 001 (Autom., 2007)

A policy gradient method for semi-Markov decision processes with application to call admission control. - Sumeetpal S. Singh; Vladislav Z. B. Tadic; Arnaud Doucet (Eur. J. Oper. Res., 2007)

Filters for Spatial Point Processes. - Sumeetpal S. Singh; Ba-Ngu Vo; Adrian J. Baddeley; Sergei A. Zuyev (SIAM J. Control. Optim., 2009)

A Monte Carlo expectation maximisation algorithm for multiple target tracking. - Sinan Yildirim; Lan Jiang 002; Sumeetpal S. Singh; Thomas Dean (FUSION, 2012)

Filtering via approximate Bayesian computation. - Ajay Jasra; Sumeetpal S. Singh; James S. Martin; Emma J. McCoy (Stat. Comput., 2012)

Distributed Maximum Likelihood for Simultaneous Self-Localization and Tracking in Sensor Networks. - Nikolaos Kantas; Sumeetpal S. Singh; Arnaud Doucet (IEEE Trans. Signal Process., 2012)

Bayesian Learning of Noisy Markov Decision Processes. - Sumeetpal S. Singh; Nicolas Chopin; Nick Whiteley (ACM Trans. Model. Comput. Simul., 2013)

A new particle filtering algorithm for multiple target tracking with non-linear observations. - Lan Jiang 002; Sumeetpal S. Singh; Sinan Yildirim (FUSION, 2014)

An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models. - Sinan Yildirim; A. Taylan Cemgil; Sumeetpal S. Singh (CoRR, 2014)

Particle Gibbs with refreshed backward simulation. - Pete Bunch; Fredrik Lindsten; Sumeetpal S. Singh (ICASSP, 2015)

Calibrating the Gaussian multi-target tracking model. - Sinan Yildirim; Lan Jiang 002; Sumeetpal S. Singh; Thomas Dean (Stat. Comput., 2015)

Uniform Stability of a Particle Approximation of the Optimal Filter Derivative. - Pierre Del Moral; Arnaud Doucet; Sumeetpal S. Singh (SIAM J. Control. Optim., 2015)

Bayesian Tracking and Parameter Learning for Non-Linear Multiple Target Tracking Models. - Lan Jiang 002; Sumeetpal S. Singh; Sinan Yildirim (IEEE Trans. Signal Process., 2015)

Model-Based Reinforcement Learning for Sepsis Treatment. - Aniruddh Raghu; Matthieu Komorowski; Sumeetpal S. Singh (CoRR, 2018)

Tracking multiple moving objects in images using Markov Chain Monte Carlo. - Lan Jiang 002; Sumeetpal S. Singh (Stat. Comput., 2018)

Multilevel Monte Carlo for Smoothing via Transport Methods. - Jeremie Houssineau; Ajay Jasra; Sumeetpal S. Singh (SIAM J. Sci. Comput., 2018)

Identification of MultiObject Dynamical Systems: Consistency and Fisher Information. - Jeremie Houssineau; Sumeetpal S. Singh; Ajay Jasra (SIAM J. Control. Optim., 2019)

On Large Lag Smoothing for Hidden Markov Models. - Jeremie Houssineau; Ajay Jasra; Sumeetpal S. Singh (SIAM J. Numer. Anal., 2019)

Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state-space models. - Jacob Vorstrup Goldman; Sumeetpal S. Singh (Stat. Comput., 2021)

Anytime parallel tempering. - Alix Marie d'Avigneau; Sumeetpal S. Singh; Lawrence M. Murray (Stat. Comput., 2021)

Multilevel Bayesian Deep Neural Networks. - Neil K. Chada; Ajay Jasra; Kody J. H. Law; Sumeetpal S. Singh (CoRR, 2022)

Limits of Accuracy for Parameter Estimation and Localization in Single-Molecule Microscopy via Sequential Monte Carlo Methods. - Alix Marie d'Avigneau; Sumeetpal S. Singh; Raimund J. Ober (SIAM J. Imaging Sci., 2022)

Online Particle Smoothing With Application to Map-Matching. - Samuel Duffield; Sumeetpal S. Singh (IEEE Trans. Signal Process., 2022)

Conditional Particle Filters with Bridge Backward Sampling. - Santeri Karppinen; Sumeetpal S. Singh; Matti Vihola (J. Comput. Graph. Stat., 2024)

Bayesian learning of the optimal action-value function in a Markov decision process. - Jiaqi Guo; Chon Wai Ho; Sumeetpal S. Singh (CoRR, 2025)