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2020 – today
- 2021
[i2]Bradley M. Bell, Kasper Kristensen:
Computing Sparse Jacobians and Hessians Using Algorithmic Differentiation. CoRR abs/2111.05207 (2021)
2010 – 2019
- 2018
- [j15]Bradley M. Bell, Kasper Kristensen
:
Newton step methods for AD of an objective defined using implicit functions. Optim. Methods Softw. 33(4-6): 907-923 (2018) - 2015
- [j14]Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto:
The Connection Between Bayesian Estimation of a Gaussian Random Field and RKHS. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1518-1524 (2015) - 2013
- [j13]Gianluigi Pillonetto, Bradley M. Bell, Simone Del Favero:
Distributed Kalman smoothing in static Bayesian networks. Autom. 49(4): 1001-1011 (2013) - [j12]Bradley M. Bell, Abraham D. Flaxman:
A Statistical Model and Estimation of Disease Rates as Functions of Age and Time. SIAM J. Sci. Comput. 35(2) (2013) - [i1]Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto:
The exact relationship between regularization in RKHS and Bayesian estimation of Gaussian random fields. CoRR abs/1301.5288 (2013) - 2011
- [j11]Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto:
An 1 -Laplace Robust Kalman Smoother. IEEE Trans. Autom. Control. 56(12): 2898-2911 (2011)
2000 – 2009
- 2009
- [j10]Bradley M. Bell, James V. Burke, Gianluigi Pillonetto:
An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization. Autom. 45(1): 25-33 (2009) - 2008
- [j9]Gianluigi Pillonetto, Bradley M. Bell:
Optimal smoothing of non-linear dynamic systems via Monte Carlo Markov chains. Autom. 44(7): 1676-1685 (2008) - 2007
- [j8]Gianluigi Pillonetto, Bradley M. Bell:
Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance. Autom. 43(10): 1698-1712 (2007) - 2003
- [c1]Gianluigi Pillonetto, Bradley M. Bell:
Bayesian Deconvolution of Functions in RKHS Using MCMC Techniques. System Modelling and Optimization 2003: 257-268 - 2001
- [j7]Bradley M. Bell:
Approximating the marginal likelihood estimate for models with random parameters. Appl. Math. Comput. 119(1): 57-75 (2001) - 2000
- [j6]Bradley M. Bell:
The marginal likelihood for parameters in a discrete Gauss-Markov process. IEEE Trans. Signal Process. 48(3): 870-873 (2000)
1990 – 1999
- 1994
- [j5]Bradley M. Bell:
The Iterated Kalman Smoother as a Gauss-Newton Method. SIAM J. Optim. 4(3): 626-636 (1994) - 1993
- [j4]Bradley M. Bell, Frederick W. Cathey:
The iterated Kalman filter update as a Gauss-Newton method. IEEE Trans. Autom. Control. 38(2): 294-297 (1993) - 1991
- [j3]Bradley M. Bell, Donald B. Percival:
A two step Burg algorithm [spectral analysis]. IEEE Trans. Signal Process. 39(1): 185-189 (1991) - [j2]Bradley M. Bell, Stephen A. Reynolds:
A matched filter network for estimating pulse arrival times. IEEE Trans. Signal Process. 39(2): 477-481 (1991)
1980 – 1989
- 1986
- [j1]Bradley M. Bell, Terry E. Ewart:
Separating multipaths by global optimization of a multidimensional matched filter. IEEE Trans. Acoust. Speech Signal Process. 34(5): 1029-1037 (1986)
Coauthor Index
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