Dellaportas, Petros

10 publications

MLJ 2024 Bayesian Tensor Factorisations for Time Series of Counts Zhongzhen Wang, Petros Dellaportas, Ioannis Kosmidis

ICML 2023 Bayesian Online Change Point Detection with Hilbert Space Approximate Student-T Process Jeremy Sellier, Petros Dellaportas

AISTATS 2023 Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event Sequences Aristeidis Panos, Ioannis Kosmidis, Petros Dellaportas

AISTATS 2023 Sparse Spectral Bayesian Permanental Process with Generalized Kernel Jeremy Sellier, Petros Dellaportas

AAAI 2022 How Good Are Low-Rank Approximations in Gaussian Process Regression? Constantinos Daskalakis, Petros Dellaportas, Aristeidis Panos

NeurIPS 2021 Entropy-Based Adaptive Hamiltonian Monte Carlo Marcel Hirt, Michalis K. Titsias, Petros Dellaportas

MLJ 2021 Large Scale Multi-Label Learning Using Gaussian Processes Aristeidis Panos, Petros Dellaportas, Michalis K. Titsias

NeurIPS 2019 Copula-like Variational Inference Marcel Hirt, Petros Dellaportas, Alain Durmus

NeurIPS 2019 Gradient-Based Adaptive Markov Chain Monte Carlo Michalis Titsias, Petros Dellaportas

AISTATS 2019 Scalable Bayesian Learning for State Space Models Using Variational Inference with SMC Samplers Marcel Hirt, Petros Dellaportas