Petros Dellaportas

32 papers A* 5A 3Journal 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Gaussian Invariant Markov Chain Monte Carlo. CoRR Michalis K. Titsias, Angelos Alexopoulos, Siran Liu, Petros Dellaportas
2025	J	`jnl`	Multi-task neural diffusion processes for uncertainty-quantified wind power prediction. CoRR Joseph Rawson, Domniki Ladopoulou, Petros Dellaportas
2025	J	`jnl`	Probabilistic Wind Power Forecasting via Non-Stationary Gaussian Processes. CoRR Domniki Ladopoulou, Dat Minh Hong, Petros Dellaportas
2024	J	`jnl`	Bayesian tensor factorisations for time series of counts. Mach. Learn. Zhongzhen Wang, Petros Dellaportas, Ioannis Kosmidis
2024	J	`jnl`	Can independent Metropolis beat crude Monte Carlo? CoRR Siran Liu, Petros Dellaportas, Michalis K. Titsias
2024	J	`jnl`	Learning variational autoencoders via MCMC speed measures. Stat. Comput. Marcel Hirt, Vasileios Kreouzis, Petros Dellaportas
2024	J	`jnl`	Probabilistic Multi-Layer Perceptrons for Wind Farm Condition Monitoring. CoRR Filippo Fiocchi, Domna Ladopoulou, Petros Dellaportas
2023	A*	`conf`	Bayesian online change point detection with Hilbert space approximate Student-t process. ICML Jeremy Sellier, Petros Dellaportas
2023	J	`jnl`	Learning variational autoencoders via MCMC speed measures. CoRR Marcel Hirt, Vasileios Kreouzis, Petros Dellaportas
2023	A	`conf`	Scalable marked point processes for exchangeable and non-exchangeable event sequences. AISTATS Aristeidis Panos, Ioannis Kosmidis, Petros Dellaportas
2023	A	`conf`	Sparse Spectral Bayesian Permanental Process with Generalized Kernel. AISTATS Jeremy Sellier, Petros Dellaportas
2023	J	`jnl`	Variance reduction for Metropolis-Hastings samplers. Stat. Comput. Angelos Alexopoulos, Petros Dellaportas, Michalis K. Titsias
2022	A*	`conf`	How Good Are Low-Rank Approximations in Gaussian Process Regression? AAAI Constantinos Daskalakis, Petros Dellaportas, Aristeidis Panos
2021	A*	`conf`	Entropy-based adaptive Hamiltonian Monte Carlo. NeurIPS Marcel Hirt, Michalis K. Titsias, Petros Dellaportas
2021	J	`jnl`	Large scale multi-label learning using Gaussian processes. Mach. Learn. Aristeidis Panos, Petros Dellaportas, Michalis K. Titsias
2021	J	`jnl`	Scalable and Interpretable Marked Point Processes. CoRR Aristeidis Panos, Ioannis Kosmidis, Petros Dellaportas
2020	J	`jnl`	Faster Gaussian Processes via Deep Embeddings. CoRR Constantinos Daskalakis, Petros Dellaportas, Aristeidis Panos
2019	A*	`conf`	Copula-like Variational Inference. NeurIPS Marcel Hirt, Petros Dellaportas, Alain Durmus
2019	J	`jnl`	Copula-like Variational Inference. CoRR Marcel Hirt, Petros Dellaportas, Alain Durmus
2019	A*	`conf`	Gradient-based Adaptive Markov Chain Monte Carlo. NeurIPS Michalis K. Titsias, Petros Dellaportas
2019	J	`jnl`	Gradient-based Adaptive Markov Chain Monte Carlo. CoRR Michalis K. Titsias, Petros Dellaportas
2019	A	`conf`	Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers. AISTATS Marcel Hirt, Petros Dellaportas
2018	J	`jnl`	Fully Scalable Gaussian Processes using Subspace Inducing Inputs. CoRR Aristeidis Panos, Petros Dellaportas, Michalis K. Titsias
2018	J	`jnl`	Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers. CoRR Marcel Hirt, Petros Dellaportas
2015	J	`jnl`	WGBSSuite: simulating whole-genome bisulphite sequencing data and benchmarking differential DNA methylation analysis tools. Bioinform. Owen J. L. Rackham, Petros Dellaportas, Enrico Petretto, Leonardo Bottolo
2012	J	`jnl`	Cholesky-GARCH models with applications to finance. Stat. Comput. Petros Dellaportas, Mohsen Pourahmadi
2011	J	`jnl`	Forecasting with non-homogeneous hidden Markov models. Stat. Comput. Loukia Meligkotsidou, Petros Dellaportas
2008	J	`jnl`	Modelling nonlinearities and heavy tails via threshold normal mixture GARCH models. Comput. Stat. Data Anal. D. Giannikis, Ioannis D. Vrontos, Petros Dellaportas
2006	J	`jnl`	Multivariate mixtures of normals with unknown number of components. Stat. Comput. Petros Dellaportas, Ioulia Papageorgiou
2005	J	`jnl`	Bayesian analysis of the unobserved ARCH model. Stat. Comput. Stefanos G. Giakoumatos, Petros Dellaportas, Dimitris Nicolas Politis
2002	J	`jnl`	On Bayesian model and variable selection using MCMC. Stat. Comput. Petros Dellaportas, Jonathan J. Forster, Ioannis Ntzoufras
1996	J	`jnl`	The role of embedded integration rules in Bayesian statistics. Stat. Comput. Ronald Cools, Petros Dellaportas