Theodoros Damoulas

100 papers A* 19A 8B 3C 3Misc 1Journal 57Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bulk-Calibrated Credal Ambiguity Sets: Fast, Tractable Decision Making under Out-of-Sample Contamination. CoRR Mengqi Chen, Thomas B. Berrett, Theodoros Damoulas, Michele Caprio
2025	J	`jnl`	Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets. CoRR Charita Dellaporta, Patrick O'Hara, Theodoros Damoulas
2025	A*	`conf`	Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets. ICML Charita Dellaporta, Patrick O'Hara, Theodoros Damoulas
2025	J	`jnl`	Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies. CoRR David Huk, Theodoros Damoulas
2025	J	`jnl`	Distributionally Robust Causal Abstractions. CoRR Yorgos Felekis, Theodoros Damoulas, Paris Giampouras
2025	A*	`conf`	Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework. ICML Terje Mildner, Oliver Hamelijnck, Paris Giampouras, Theodoros Damoulas
2025	J	`jnl`	Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework. CoRR Terje Mildner, Oliver Hamelijnck, Paris Giampouras, Theodoros Damoulas
2024	—	`conf`	Causal Optimal Transport of Abstractions. CLeaR Yorgos Felekis, Fabio Massimo Zennaro, Nicola Branchini, Theodoros Damoulas
2024	A	`conf`	Causally Abstracted Multi-armed Bandits. UAI Fabio Massimo Zennaro, Nicholas Bishop, Joel Dyer, Yorgos Felekis, Anisoara Calinescu, Michael J. Wooldridge, Theodoros Damoulas
2024	J	`jnl`	Causally Abstracted Multi-armed Bandits. CoRR Fabio Massimo Zennaro, Nicholas Bishop, Joel Dyer, Yorgos Felekis, Anisoara Calinescu, Michael J. Wooldridge, Theodoros Damoulas
2024	J	`jnl`	Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets. CoRR Charita Dellaporta, Patrick O'Hara, Theodoros Damoulas
2024	J	`jnl`	Distributionally Robust Optimisation with Bayesian Ambiguity Sets. CoRR Charita Dellaporta, Patrick O'Hara, Theodoros Damoulas
2024	A*	`conf`	Generating Origin-Destination Matrices in Neural Spatial Interaction Models. NeurIPS Ioannis Zachos, Mark Girolami, Theodoros Damoulas
2024	J	`jnl`	Generating Origin-Destination Matrices in Neural Spatial Interaction Models. CoRR Ioannis Zachos, Mark Girolami, Theodoros Damoulas
2024	A*	`conf`	Interventionally Consistent Surrogates for Complex Simulation Models. NeurIPS Joel Dyer, Nicholas Bishop, Yorgos Felekis, Fabio Massimo Zennaro, Anisoara Calinescu, Theodoros Damoulas, Michael J. Wooldridge
2024	J	`jnl`	Near Real-Time Social Distance Estimation In London. Comput. J. James Walsh, Oluwafunmilola Kesa, Andrew Wang, Mihai Ilas, Patrick O'Hara, Oscar Giles, Neil Dhir, Mark Girolami, Theodoros Damoulas
2024	A*	`conf`	Physics-Informed Variational State-Space Gaussian Processes. NeurIPS Oliver Hamelijnck, Arno Solin, Theodoros Damoulas
2024	J	`jnl`	Physics-Informed Variational State-Space Gaussian Processes. CoRR Oliver Hamelijnck, Arno Solin, Theodoros Damoulas
2024	J	`jnl`	Routing on Sparse Graphs with Non-metric Costs for the Prize-collecting Travelling Salesperson Problem. CoRR Patrick O'Hara, M. S. Ramanujan, Theodoros Damoulas
2023	A	`conf`	Causal Entropy Optimization. AISTATS Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas
2023	J	`jnl`	Causal Optimal Transport of Abstractions. CoRR Yorgos Felekis, Fabio Massimo Zennaro, Nicola Branchini, Theodoros Damoulas
2023	J	`jnl`	Interventionally Consistent Surrogates for Agent-based Simulators. CoRR Joel Dyer, Nicholas Bishop, Yorgos Felekis, Fabio Massimo Zennaro, Anisoara Calinescu, Theodoros Damoulas, Michael J. Wooldridge
2023	—	`conf`	Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions. CLeaR Fabio Massimo Zennaro, Máté Drávucz, Geanina Apachitei, Widanalage Dhammika Widanage, Theodoros Damoulas
2023	J	`jnl`	Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions. CoRR Fabio Massimo Zennaro, Máté Drávucz, Geanina Apachitei, Widanalage Dhammika Widanage, Theodoros Damoulas
2023	A*	`conf`	Quantifying Consistency and Information Loss for Causal Abstraction Learning. IJCAI Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas
2023	J	`jnl`	Quantifying Consistency and Information Loss for Causal Abstraction Learning. CoRR Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas
2022	J	`jnl`	An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference. J. Mach. Learn. Res. Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
2022	J	`jnl`	Causal Entropy Optimization. CoRR Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas
2022	A	`conf`	Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap. AISTATS Charita Dellaporta, Jeremias Knoblauch, Theodoros Damoulas, François-Xavier Briol
2022	J	`jnl`	Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap. CoRR Charita Dellaporta, Jeremias Knoblauch, Theodoros Damoulas, François-Xavier Briol
2022	J	`jnl`	Towards Computing an Optimal Abstraction for Structural Causal Models. CoRR Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas
2022	J	`jnl`	Uncertainty-Aware Deep Learning Methods for Robust Diabetic Retinopathy Classification. IEEE Access Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Särkkä, Leo Kärkkäinen, Kustaa Hietala, Kimmo K. Kaski
2022	J	`jnl`	Uncertainty-aware deep learning methods for robust diabetic retinopathy classification. CoRR Joel Jaskari, Jaakko Sahlsten, Theodoros Damoulas, Jeremias Knoblauch, Simo Särkkä, Leo Kärkkäinen, Kustaa Hietala, Kimmo Kaski
2021	J	`jnl`	A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities. CoRR Shanaka Perera, Virginia Aglietti, Theodoros Damoulas
2021	A	`conf`	Distribution Regression for Sequential Data. AISTATS Maud Lemercier, Cristopher Salvi, Theodoros Damoulas, Edwin V. Bonilla, Terry J. Lyons
2021	A*	`conf`	Dynamic Causal Bayesian Optimization. NeurIPS Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas
2021	J	`jnl`	Dynamic Causal Bayesian Optimization. CoRR Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas
2021	A*	`conf`	Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes. NeurIPS Cristopher Salvi, Maud Lemercier, Chong Liu, Blanka Horvath, Theodoros Damoulas, Terry J. Lyons
2021	J	`jnl`	Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes. CoRR Cristopher Salvi, Maud Lemercier, Chong Liu, Blanka Horvath, Theodoros Damoulas, Terry J. Lyons
2021	A	`conf`	Probabilistic Sequential Matrix Factorization. AISTATS Ömer Deniz Akyildiz, Gerrit J. J. van den Burg, Theodoros Damoulas, Mark F. J. Steel
2021	A*	`conf`	SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data. ICML Maud Lemercier, Cristopher Salvi, Thomas Cass, Edwin V. Bonilla, Theodoros Damoulas, Terry J. Lyons
2021	J	`jnl`	SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data. CoRR Maud Lemercier, Cristopher Salvi, Thomas Cass, Edwin V. Bonilla, Theodoros Damoulas, Terry J. Lyons
2021	A*	`conf`	Spatio-Temporal Variational Gaussian Processes. NeurIPS Oliver Hamelijnck, William J. Wilkinson, Niki Andreas Lopi, Arno Solin, Theodoros Damoulas
2021	J	`jnl`	Spatio-Temporal Variational Gaussian Processes. CoRR Oliver Hamelijnck, William J. Wilkinson, Niki Andreas Lopi, Arno Solin, Theodoros Damoulas
2021	A	`conf`	Transforming Gaussian Processes With Normalizing Flows. AISTATS Juan Maroñas, Oliver Hamelijnck, Jeremias Knoblauch, Theodoros Damoulas
2020	J	`jnl`	An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System. CoRR Chance Haycock, Edward Thorpe-Woods, James Walsh, Patrick O'Hara, Oscar Giles, Neil Dhir, Theodoros Damoulas
2020	J	`jnl`	Distribution Regression for Continuous-Time Processes via the Expected Signature. CoRR Maud Lemercier, Cristopher Salvi, Theodoros Damoulas, Edwin V. Bonilla, Terry J. Lyons
2020	J	`jnl`	Exoplanet Validation with Machine Learning: 50 new validated Kepler planets. CoRR David J. Armstrong, Jevgenij Gamper, Theodoros Damoulas
2020	A*	`conf`	Generalised Bayesian Filtering via Sequential Monte Carlo. NeurIPS Ayman Boustati, Ömer Deniz Akyildiz, Theodoros Damoulas, Adam M. Johansen
2020	J	`jnl`	Generalized Bayesian Filtering via Sequential Monte Carlo. CoRR Ayman Boustati, Ömer Deniz Akyildiz, Theodoros Damoulas, Adam M. Johansen
2020	A*	`conf`	Multi-task Causal Learning with Gaussian Processes. NeurIPS Virginia Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González
2020	J	`jnl`	Multi-task Causal Learning with Gaussian Processes. CoRR Virginia Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González
2020	J	`jnl`	Near Real-Time Social Distancing in London. CoRR James Walsh, Oluwafunmilola Kesa, Andrew Wang, Mihai Ilas, Patrick O'Hara, Oscar Giles, Neil Dhir, Theodoros Damoulas
2020	A*	`conf`	Non-separable Non-stationary random fields. ICML Kangrui Wang, Oliver Hamelijnck, Theodoros Damoulas, Mark F. J. Steel
2020	J	`jnl`	Posterior inference for sparse hierarchical non-stationary models. Comput. Stat. Data Anal. Karla Monterrubio-Gómez, Lassi Roininen, Sara Wade, Theodoros Damoulas, Mark Girolami
2020	J	`jnl`	Road and travel time cross-validation for urban modelling. Int. J. Geogr. Inf. Sci. Henry Crosby, Theodoros Damoulas, Stephen A. Jarvis
2020	J	`jnl`	Transforming Gaussian Processes With Normalizing Flows. CoRR Juan Maroñas, Oliver Hamelijnck, Jeremias Knoblauch, Theodoros Damoulas
2020	J	`jnl`	Variational Autoencoding of PDE Inverse Problems. CoRR Daniel J. Tait, Theodoros Damoulas
2019	A	`conf`	Efficient Inference in Multi-task Cox Process Models. AISTATS Virginia Aglietti, Theodoros Damoulas, Edwin V. Bonilla
2019	J	`jnl`	Embedding road networks and travel time into distance metrics for urban modelling. Int. J. Geogr. Inf. Sci. Henry Crosby, Theodoros Damoulas, Stephen A. Jarvis
2019	J	`jnl`	Generalized Variational Inference. CoRR Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
2019	A*	`conf`	Multi-resolution Multi-task Gaussian Processes. NeurIPS Oliver Hamelijnck, Theodoros Damoulas, Kangrui Wang, Mark A. Girolami
2019	J	`jnl`	Multi-resolution Multi-task Gaussian Processes. CoRR Oliver Hamelijnck, Theodoros Damoulas, Kangrui Wang, Mark A. Girolami
2019	J	`jnl`	On the Constrained Least-cost Tour Problem. CoRR Patrick O'Hara, M. S. Ramanujan, Theodoros Damoulas
2019	J	`jnl`	Probabilistic sequential matrix factorization. CoRR Ömer Deniz Akyildiz, Theodoros Damoulas, Mark F. J. Steel
2019	A*	`conf`	Structured Variational Inference in Continuous Cox Process Models. NeurIPS Virginia Aglietti, Edwin V. Bonilla, Theodoros Damoulas, Sally Cripps
2019	J	`jnl`	Structured Variational Inference in Continuous Cox Process Models. CoRR Virginia Aglietti, Edwin V. Bonilla, Theodoros Damoulas, Sally Cripps
2018	J	`jnl`	Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation. CoRR Adam Tsakalidis, Maria Liakata, Theodoros Damoulas, Alexandra I. Cristea
2018	A*	`conf`	Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with \beta-Divergences. NeurIPS Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
2018	J	`jnl`	Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences. CoRR Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
2018	J	`jnl`	Log Gaussian Cox Process Networks. CoRR Virginia Aglietti, Theodoros Damoulas, Edwin V. Bonilla
2018	A*	`conf`	Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection. ICML Jeremias Knoblauch, Theodoros Damoulas
2018	J	`jnl`	Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection. CoRR Jeremias Knoblauch, Theodoros Damoulas
2017	Misc	`conf`	Enabling Dependability-Driven Resource Use and Message Log-Analysis for Cluster System Diagnosis. HiPC Edward Chuah, Arshad Jhumka, Samantha Alt, Theodoros Damoulas, Nentawe Gurumdimma, Marie-Christine Sawley, William L. Barth, Tommy Minyard, James C. Browne
2016	—	`conf`	A spatio-temporal, Gaussian process regression, real-estate price predictor. SIGSPATIAL/GIS Henry Crosby, Paul Davis, Theodoros Damoulas, Stephen A. Jarvis
2016	B	`conf`	Combining Heterogeneous User Generated Data to Sense Well-being. COLING Adam Tsakalidis, Maria Liakata, Theodoros Damoulas, Brigitte Jellinek, Weisi Guo, Alexandra I. Cristea
2016	—	`conf`	Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets. SIGMOD Conference Fernando Chirigati, Harish Doraiswamy, Theodoros Damoulas, Juliana Freire
2016	J	`jnl`	Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets. CoRR Fernando Chirigati, Harish Doraiswamy, Theodoros Damoulas, Juliana Freire
2015	—	`ed.`	Artificial Intelligence for Cities, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 25, 2015. AAAI Workshop: AI for Cities Theodoros Damoulas
2015	A*	`conf`	Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa. AAAI Stefano Ermon, Yexiang Xue, Russell Toth, Bistra Dilkina, Richard Bernstein, Theodoros Damoulas, Patrick E. Clark, Steve DeGloria, Andrew Mude, Christopher Barrett, Carla P. Gomes
2015	—	`conf`	Mining 911 Calls in New York City: Temporal Patterns, Detection, and Forecasting. AAAI Workshop: AI for Cities Alex Chohlas-Wood, Aliya Merali, Warren Reed, Theodoros Damoulas
2015	J	`jnl`	Reports from the 2015 AAAI Workshop Program. AI Mag. Stefano V. Albrecht, J. Christopher Beck, David L. Buckeridge, Adi Botea, Cornelia Caragea, Chi-Hung Chi, Theodoros Damoulas, Bistra Dilkina, Eric Eaton, Pooyan Fazli, Sam Ganzfried, Marius Lindauer, Marlos C. Machado, Yuri Malitsky, Gary Marcus, Sebastiaan A. Meijer, Francesca Rossi, Arash Shaban-Nejad, Sylvie Thiébaux, Manuela M. Veloso, Toby Walsh, Can Wang, Jie Zhang, Yu Zheng
2014	J	`jnl`	Crowdsourcing Meets Ecology: Hemisphere-Wide Spatiotemporal Species Distribution Models. AI Mag. Daniel Fink, Theodoros Damoulas, Nicholas E. Bruns, Frank A. La Sorte, Wesley M. Hochachka, Carla P. Gomes, Steve Kelling
2014	B	`conf`	String Kernels for Complex Time-Series: Counting Targets from Sensed Movement. ICPR Theodoros Damoulas, Jin He, Richard Bernstein, Carla P. Gomes, Anish Arora
2014	J	`jnl`	Using Topological Analysis to Support Event-Guided Exploration in Urban Data. IEEE Trans. Vis. Comput. Graph. Harish Doraiswamy, Nivan Ferreira, Theodoros Damoulas, Juliana Freire, Cláudio T. Silva
2013	J	`jnl`	A Human/Computer Learning Network to Improve Biodiversity Conservation and Research. AI Mag. Steve Kelling, Jeff Gerbracht, Daniel Fink, Carl Lagoze, Weng-Keen Wong, Jun Yu, Theodoros Damoulas, Carla P. Gomes
2013	A*	`conf`	Adaptive Spatio-Temporal Exploratory Models: Hemisphere-wide species distributions from massively crowdsourced eBird data. AAAI Daniel Fink, Theodoros Damoulas, Jaimin Dave
2013	B	`conf`	Improving Your Chances: Boosting Citizen Science Discovery. HCOMP Yexiang Xue, Bistra Dilkina, Theodoros Damoulas, Daniel Fink, Carla P. Gomes, Steve Kelling
2012	C	`conf`	eBird: A Human/Computer Learning Network for Biodiversity Conservation and Research. IAAI Steve Kelling, Jeff Gerbracht, Daniel Fink, Carl Lagoze, Weng-Keen Wong, Jun Yu, Theodoros Damoulas, Carla P. Gomes
2011	A	`conf`	Constraint Reasoning and Kernel Clustering for Pattern Decomposition with Scaling. CP Ronan LeBras, Theodoros Damoulas, John M. Gregoire, Ashish Sabharwal, Carla P. Gomes, R. Bruce van Dover
2011	J	`jnl`	Protein interaction sentence detection using multiple semantic kernels. J. Biomed. Semant. Tamara Polajnar, Theodoros Damoulas, Mark A. Girolami
2010	C	`conf`	Bayesian Classification of Flight Calls with a Novel Dynamic Time Warping Kernel. ICMLA Theodoros Damoulas, Samuel Henry, Andrew Farnsworth, Michael Lanzone, Carla P. Gomes
2010	J	`jnl`	Multiclass relevance vector machines: sparsity and accuracy. IEEE Trans. Neural Networks Ioannis Psorakis, Theodoros Damoulas, Mark A. Girolami
2009	—	`conf`	Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm. PRIB Yiming Ying, Colin Campbell, Theodoros Damoulas, Mark A. Girolami
2009	J	`jnl`	Combining feature spaces for classification. Pattern Recognit. Theodoros Damoulas, Mark A. Girolami
2009	J	`jnl`	Pattern recognition with a Bayesian kernel combination machine. Pattern Recognit. Lett. Theodoros Damoulas, Mark A. Girolami
2009	—	`—`	Probabilistic multiple kernel learning. Theodoros Damoulas
2008	C	`conf`	Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins. ICMLA Theodoros Damoulas, Yiming Ying, Mark A. Girolami, Colin Campbell
2008	J	`jnl`	Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection. Bioinform. Theodoros Damoulas, Mark A. Girolami
2005	—	`conf`	Valency for Adaptive Homeostatic Agents: Relating Evolution and Learning. ECAL Theodoros Damoulas, Ignasi Cos-Aguilera, Gillian M. Hayes, Tim Taylor