Theodoros Damoulas

Anisoara Calinescu

Michael J. Wooldridge

CoRR, 2023

Quantifying Consistency and Information Loss for Causal Abstraction Learning.

[BibT_eX]

[DOI]

Paolo Turrini

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions.

[BibT_eX]

[DOI]

Widanalage Dhammika Widanage

Máté Drávucz

Geanina Apachitei

Proceedings of the Conference on Causal Learning and Reasoning, 2023

Causal Entropy Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Towards Computing an Optimal Abstraction for Structural Causal Models.

[BibT_eX]

[DOI]

Paolo Turrini

CoRR, 2022

Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification.

[BibT_eX]

[DOI]

IEEE Access, 2022

Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap.

[BibT_eX]

[DOI]

Charita Dellaporta

François-Xavier Briol

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities.

[BibT_eX]

[DOI]

Shanaka Perera

Virginia Aglietti

Gerrit J. J. van den Burg

CoRR, 2021

Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Spatio-Temporal Variational Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Causal Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Transforming Gaussian Processes With Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Distribution Regression for Sequential Data.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Probabilistic Sequential Matrix Factorization.

[BibT_eX]

[DOI]

Ömer Deniz Akyildiz

Mark F. J. Steel

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Road and travel time cross-validation for urban modelling.

[BibT_eX]

[DOI]

Henry Crosby

Stephen A. Jarvis

Int. J. Geogr. Inf. Sci., 2020

Posterior inference for sparse hierarchical non-stationary models.

[BibT_eX]

[DOI]

Karla Monterrubio-Gómez

Comput. Stat. Data Anal., 2020

Near Real-Time Social Distancing in London.

[BibT_eX]

[DOI]

CoRR, 2020

An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System.

[BibT_eX]

[DOI]

CoRR, 2020

Exoplanet Validation with Machine Learning: 50 new validated Kepler planets.

[BibT_eX]

[DOI]

David J. Armstrong

Jevgenij Gamper

CoRR, 2020

Variational Autoencoding of PDE Inverse Problems.

[BibT_eX]

[DOI]

Daniel J. Tait

CoRR, 2020

Distribution Regression for Continuous-Time Processes via the Expected Signature.

[BibT_eX]

[DOI]

CoRR, 2020

Generalized Bayesian Filtering via Sequential Monte Carlo.

[BibT_eX]

[DOI]

CoRR, 2020

Bi-directional online transfer learning: a framework.

[BibT_eX]

[DOI]

Ann. des Télécommunications, 2020

Generalised Bayesian Filtering via Sequential Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-task Causal Learning with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Non-separable Non-stationary random fields.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Embedding road networks and travel time into distance metrics for urban modelling.

[BibT_eX]

[DOI]

Henry Crosby

Stephen A. Jarvis

Int. J. Geogr. Inf. Sci., 2019

Probabilistic sequential matrix factorization.

[BibT_eX]

[DOI]

Ömer Deniz Akyildiz

Mark F. J. Steel

CoRR, 2019

Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization.

[BibT_eX]

[DOI]

CoRR, 2019

On the Constrained Least-cost Tour Problem.

[BibT_eX]

[DOI]

Patrick O'Hara

M. S. Ramanujan

CoRR, 2019

Generalized Variational Inference.

[BibT_eX]

[DOI]

CoRR, 2019

Multi-resolution Multi-task Gaussian Processes.

[BibT_eX]

[DOI]

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

Structured Variational Inference in Continuous Cox Process Models.

[BibT_eX]

[DOI]

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

Online Transfer Learning for Concept Drifting Data Streams.

[BibT_eX]

[DOI]

Proceedings of the 8th International Workshop on Big Data, 2019

Efficient Inference in Multi-task Cox Process Models.

[BibT_eX]

[DOI]

Virginia Aglietti

João Porto de Albuquerque

Edwin V. Bonilla

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Road distance and travel time for an improved house price Kriging predictor.

[BibT_eX]

[DOI]

Stephen A. Jarvis

Geo spatial Inf. Sci., 2018

Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences.

[BibT_eX]

[DOI]

CoRR, 2018

Log Gaussian Cox Process Networks.

[BibT_eX]

[DOI]

Virginia Aglietti

Edwin V. Bonilla

CoRR, 2018

Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with \beta-Divergences.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Enabling Dependability-Driven Resource Use and Message Log-Analysis for Cluster System Diagnosis.

[BibT_eX]

[DOI]

Marie-Christine Sawley

William L. Barth

Tommy Minyard

James C. Browne

Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017

2016

Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Management of Data, 2016

A spatio-temporal, Gaussian process regression, real-estate price predictor.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Combining Heterogeneous User Generated Data to Sense Well-being.

[BibT_eX]

[DOI]

Proceedings of the COLING 2016, 2016

2015

Reports from the 2015 AAAI Workshop Program.

[BibT_eX]

[DOI]

AI Mag., 2015

Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Mining 911 Calls in New York City: Temporal Patterns, Detection, and Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence for Cities, 2015

2014

Using Topological Analysis to Support Event-Guided Exploration in Urban Data.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2014

Crowdsourcing Meets Ecology: Hemisphere-Wide Spatiotemporal Species Distribution Models.

[BibT_eX]

[DOI]

AI Mag., 2014

String Kernels for Complex Time-Series: Counting Targets from Sensed Movement.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

A Human/Computer Learning Network to Improve Biodiversity Conservation and Research.

[BibT_eX]

[DOI]

AI Mag., 2013

Improving Your Chances: Boosting Citizen Science Discovery.

[BibT_eX]

[DOI]

Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

Adaptive Spatio-Temporal Exploratory Models: Hemisphere-wide species distributions from massively crowdsourced eBird data.

[BibT_eX]

[DOI]

Daniel Fink

Jaimin Dave

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

eBird: A Human/Computer Learning Network for Biodiversity Conservation and Research.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth Conference on Innovative Applications of Artificial Intelligence, 2012

2011

Protein interaction sentence detection using multiple semantic kernels.

[BibT_eX]

[DOI]

Tamara Polajnar

J. Biomed. Semant., 2011

Constraint Reasoning and Kernel Clustering for Pattern Decomposition with Scaling.

[BibT_eX]

[DOI]

Proceedings of the Principles and Practice of Constraint Programming - CP 2011, 2011

2010

Multiclass relevance vector machines: sparsity and accuracy.

[BibT_eX]

[DOI]

Ioannis Psorakis

IEEE Trans. Neural Networks, 2010

Bayesian Classification of Flight Calls with a Novel Dynamic Time Warping Kernel.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

Probabilistic multiple kernel learning.

[BibT_eX]

[DOI]

PhD thesis, 2009

Pattern recognition with a Bayesian kernel combination machine.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2009

Combining feature spaces for classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2009

Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition in Bioinformatics, 2009

2008

Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection.

[BibT_eX]

[DOI]