Damoulas, Theodoros

30 publications

ICML 2025 Decision Making Under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets Charita Dellaporta, Patrick O’Hara, Theodoros Damoulas

ICML 2025 Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework Terje Mildner, Oliver Hamelijnck, Paris Giampouras, Theodoros Damoulas

CLeaR 2024 Causal Optimal Transport of Abstractions Yorgos Felekis, Fabio Massimo Zennaro, Nicola Branchini, Theodoros Damoulas

UAI 2024 Causally Abstracted Multi-Armed Bandits Fabio Massimo Zennaro, Nicholas Bishop, Joel Dyer, Yorgos Felekis, Anisoara Calinescu, Michael Wooldridge, Theodoros Damoulas

NeurIPSW 2024 Distributionally Robust Optimisation with Bayesian Ambiguity Sets Charita Dellaporta, Patrick O'Hara, Theodoros Damoulas

NeurIPS 2024 Generating Origin-Destination Matrices in Neural Spatial Interaction Models Ioannis Zachos, Mark Girolami, Theodoros Damoulas

NeurIPS 2024 Interventionally Consistent Surrogates for Complex Simulation Models Joel Dyer, Nicholas Bishop, Yorgos Felekis, Fabio Massimo Zennaro, Anisoara Calinescu, Theodoros Damoulas, Michael Wooldridge

NeurIPS 2024 Physics-Informed Variational State-Space Gaussian Processes Oliver Hamelijnck, Arno Solin, Theodoros Damoulas

AISTATS 2023 Causal Entropy Optimization Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas

CLeaR 2023 Jointly Learning Consistent Causal Abstractions over Multiple Interventional Distributions Fabio Massimo Zennaro, Máté Drávucz, Geanina Apachitei, W. Dhammika Widanage, Theodoros Damoulas

IJCAI 2023 Quantifying Consistency and Information Loss for Causal Abstraction Learning Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas

AISTATS 2022 Robust Bayesian Inference for Simulator-Based Models via the MMD Posterior Bootstrap Charita Dellaporta, Jeremias Knoblauch, Theodoros Damoulas, Francois-Xavier Briol

JMLR 2022 An Optimization-Centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas

AISTATS 2021 Distribution Regression for Sequential Data Maud Lemercier, Cristopher Salvi, Theodoros Damoulas, Edwin Bonilla, Terry Lyons

AISTATS 2021 Probabilistic Sequential Matrix Factorization Omer Deniz Akyildiz, Gerrit Burg, Theodoros Damoulas, Mark Steel

AISTATS 2021 Transforming Gaussian Processes with Normalizing Flows Juan Maroñas, Oliver Hamelijnck, Jeremias Knoblauch, Theodoros Damoulas

NeurIPS 2021 Dynamic Causal Bayesian Optimization Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas

NeurIPS 2021 Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes Cristopher Salvi, Maud Lemercier, Chong Liu, Blanka Horvath, Theodoros Damoulas, Terry Lyons

ICML 2021 SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data Maud Lemercier, Cristopher Salvi, Thomas Cass, Edwin V. Bonilla, Theodoros Damoulas, Terry J Lyons

NeurIPS 2021 Spatio-Temporal Variational Gaussian Processes Oliver Hamelijnck, William Wilkinson, Niki Loppi, Arno Solin, Theodoros Damoulas

NeurIPS 2020 Generalised Bayesian Filtering via Sequential Monte Carlo Ayman Boustati, Omer Deniz Akyildiz, Theodoros Damoulas, Adam Johansen

NeurIPS 2020 Multi-Task Causal Learning with Gaussian Processes Virginia Aglietti, Theodoros Damoulas, Mauricio Álvarez, Javier González

ICML 2020 Non-Separable Non-Stationary Random Fields Kangrui Wang, Oliver Hamelijnck, Theodoros Damoulas, Mark Steel

AISTATS 2019 Efficient Inference in Multi-Task Cox Process Models Virginia Aglietti, Theodoros Damoulas, Edwin V. Bonilla

NeurIPS 2019 Multi-Resolution Multi-Task Gaussian Processes Oliver Hamelijnck, Theodoros Damoulas, Kangrui Wang, Mark Girolami

NeurIPS 2019 Structured Variational Inference in Continuous Cox Process Models Virginia Aglietti, Edwin V. Bonilla, Theodoros Damoulas, Sally Cripps

NeurIPS 2018 Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $\beta$-Divergences Jeremias Knoblauch, Jack E Jewson, Theodoros Damoulas

ICML 2018 Spatio-Temporal Bayesian On-Line Changepoint Detection with Model Selection Jeremias Knoblauch, Theodoros Damoulas

AAAI 2015 Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa Stefano Ermon, Yexiang Xue, Russell Toth, Bistra Dilkina, Richard Bernstein, Theodoros Damoulas, Patrick E. Clark, Steve DeGloria, Andrew Mude, Christopher Barrett, Carla P. Gomes

AAAI 2013 Adaptive Spatio-Temporal Exploratory Models: Hemisphere-Wide Species Distributions from Massively Crowdsourced eBird Data Daniel Fink, Theodoros Damoulas, Jaimin Dave