Alessio Benavoli

Sanjeev Arulampalam

IEEE Trans. Artif. Intell., January, 2024

A tutorial on learning from preferences and choices with Gaussian Processes.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Robust target area search using sets of probabilities.

[BibT_eX]

[DOI]

Branko Ristic

Alex Skvortsov

Digit. Signal Process., October, 2023

A Reinforcement Learning System for Generating Instantaneous Quality Random Sequences.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., June, 2023

Correlated product of experts for sparse Gaussian process regression.

[BibT_eX]

[DOI]

Mach. Learn., May, 2023

Nonlinear desirability as a linear classification problem.

[BibT_eX]

[DOI]

Arianna Casanova

Int. J. Approx. Reason., 2023

Learning Choice Functions with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Closure operators, classifiers and desirability.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023

Bayesian Optimization For Choice Data.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Quantum indistinguishability through exchangeability.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

2021

A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Choice functions based multi-objective Bayesian optimisation.

[BibT_eX]

[DOI]

CoRR, 2021

Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect.

[BibT_eX]

[DOI]

Jason Wyse

Arthur J. White

CoRR, 2021

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing.

[BibT_eX]

[DOI]

CoRR, 2021

Bayesian Kernelised Test of (In)dependence with Mixed-type Variables.

[BibT_eX]

[DOI]

CoRR, 2021

Sparse Information Filter for Fast Gaussian Process Regression.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Time Series Forecasting with Gaussian Processes Needs Priors.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Quantum Indistinguishability through Exchangeable Desirable Gambles.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

Preferential Bayesian optimisation with skew gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Bayesian Independence Test with Mixed-type Variables.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

State Space Approximation of Gaussian Processes for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

2020

Skew Gaussian processes for classification.

[BibT_eX]

[DOI]

Mach. Learn., 2020

A tutorial on uncertainty modeling for machine reasoning.

[BibT_eX]

[DOI]

Inf. Fusion, 2020

Automatic Forecasting using Gaussian Processes.

[BibT_eX]

[DOI]

João P. S. C. Augusto

CoRR, 2020

Orthogonally Decoupled Variational Fourier Features.

[BibT_eX]

[DOI]

CoRR, 2020

Recursive estimation for sparse Gaussian process regression.

[BibT_eX]

[DOI]

Autom., 2020

Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models.

[BibT_eX]

[DOI]

Alberto Bemporad

Autom., 2020

2019

Joint Waveform and Guidance Control Optimization for Target Rendezvous.

[BibT_eX]

[DOI]

Alessio Balleri

Alfonso Farina

IEEE Trans. Signal Process., 2019

Sum-of-squares for bounded rationality.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Computational Complexity and the Nature of Quantum Mechanics.

[BibT_eX]

[DOI]

CoRR, 2019

Computational Complexity and the Nature of Quantum Mechanics (Extended version).

[BibT_eX]

[DOI]

CoRR, 2019

Bernstein's Socks, Polynomial-Time Provable Coherence and Entanglement.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

Semialgebraic Outer Approximations for Set-Valued Nonlinear Filtering.

[BibT_eX]

[DOI]

Proceedings of the 17th European Control Conference, 2019

2017

A Unified Framework for Deterministic and Probabilistic $\mathscr {D}$-Stability Analysis of Uncertain Polynomial Matrices.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Joint Analysis of Multiple Algorithms and Performance Measures.

[BibT_eX]

[DOI]

New Gener. Comput., 2017

Statistical comparison of classifiers through Bayesian hierarchical modelling.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Introduction to the special issue on Bayesian Nonparametrics.

[BibT_eX]

[DOI]

Antonio Lijoi

Antonietta Mira

Int. J. Approx. Reason., 2017

A Polarity Theory for Sets of Desirable Gambles.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017

SOS for Bounded Rationality.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017

2016

Should We Really Use Post-Hoc Tests Based on Mean-Ranks?

[BibT_eX]

[DOI]

Francesca Mangili

J. Mach. Learn. Res., 2016

Bayesian Dependence Tests for Continuous, Binary and Mixed Continuous-Binary Variables.

[BibT_eX]

[DOI]

Entropy, 2016

State Space representation of non-stationary Gaussian Processes.

[BibT_eX]

[DOI]

CoRR, 2016

A probabilistic interpretation of set-membership filtering: Application to polynomial systems through polytopic bounding.

[BibT_eX]

[DOI]

Autom., 2016

Quantum Rational Preferences and Desirability.

[BibT_eX]

[DOI]

Proceedings of the NIPS 2016 Workshop on Imperfect Decision Makers: Admitting Real-World Rationality, 2016

2015

A Bayesian approach for comparing cross-validated algorithms on multiple data sets.

[BibT_eX]

[DOI]

Mach. Learn., 2015

New prior near-ignorance models on the simplex.

[BibT_eX]

[DOI]

Francesca Mangili

Int. J. Approx. Reason., 2015

A stochastic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding.

[BibT_eX]

[DOI]

CoRR, 2015

Bayesian Hypothesis Testing in Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Statistical Tests for Joint Analysis of Performance Measures.

[BibT_eX]

[DOI]

Proceedings of the Advanced Methodologies for Bayesian Networks, 2015

A Bayesian nonparametric procedure for comparing algorithms.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Gaussian Processes for Bayesian hypothesis tests on regression functions.

[BibT_eX]

[DOI]

Francesca Mangili

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Probabilistic Inference in Credal Networks: New Complexity Results.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2014

Belief function and multivalued mapping robustness in statistical estimation.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2014

A Bayesian Wilcoxon signed-rank test based on the Dirichlet process.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

The Generalized Moment-Based Filter.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2013

On the Complexity of Strong and Epistemic Credal Networks.

[BibT_eX]

[DOI]

Denis Deratani Mauá

Cassio Polpo de Campos

Alessandro Antonucci

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Set-membership PHD filter.

[BibT_eX]

[DOI]

Francesco Papi

Proceedings of the 16th International Conference on Information Fusion, 2013

Imprecise Hierarchical Dirichlet model with applications.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Information Fusion, 2013

2012

State estimation with remote sensors and intermittent transmissions.

[BibT_eX]

[DOI]

Syst. Control. Lett., 2012

Data-driven communication for state estimation with sensor networks.

[BibT_eX]

[DOI]

Autom., 2012

Pushing Kalman's idea to the extremes.

[BibT_eX]

[DOI]

Benjamin Noack

Proceedings of the 15th International Conference on Information Fusion, 2012

Data-driven strategies for selective data transmission in sensor networks.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Belief Function Robustness in Estimation.

[BibT_eX]

[DOI]

Proceedings of the Belief Functions: Theory and Applications, 2012

2011

Performance Measures and MHT for Tracking Move-Stop-Move Targets with MTI Sensors.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2011

Optimal Flow Models for Multiscan Data Association.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2011

Robust Filtering Through Coherent Lower Previsions.

[BibT_eX]

[DOI]

Enrique Miranda

IEEE Trans. Autom. Control., 2011

Inference with Multinomial Data: Why to Weaken the Prior Strength.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Classification with imprecise likelihoods: A comparison of TBM, random set and imprecise probability approach.

[BibT_eX]

[DOI]

Branko Ristic

Proceedings of the 14th International Conference on Information Fusion, 2011

2010

An aggregation framework based on coherent lower previsions: Application to Zadeh's paradox and sensor networks.

[BibT_eX]

[DOI]

Alessandro Antonucci

Int. J. Approx. Reason., 2010

Restricting the IDM for Classification.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010

Interval dominance based data association.

[BibT_eX]

[DOI]

Proceedings of the 13th Conference on Information Fusion, 2010

2009

Fibonacci sequence, golden section, Kalman filter and optimal control.

[BibT_eX]

[DOI]

Alfonso Farina

Signal Process., 2009

Reliable hidden Markov model filtering through coherent lower previsions.

[BibT_eX]

[DOI]

Enrique Miranda

Proceedings of the 12th International Conference on Information Fusion, 2009

Multiple model tracking by imprecise markov trees.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Information Fusion, 2009

State estimation in a centralized sensor network under limited communication rate.

[BibT_eX]

[DOI]

Proceedings of the 10th European Control Conference, 2009

Inference from Multinomial Data Based on a MLE-Dominance Criterion.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008

Modelling uncertain implication rules in evidence theory.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Information Fusion, 2008

2007

Estimation of Constrained Parameters With Guaranteed MSE Improvement.

[BibT_eX]

[DOI]

Alfonso Farina

IEEE Trans. Signal Process., 2007

Improved estimation for object localization via sensor networks.

[BibT_eX]

[DOI]