Petros Dellaportas
8 papers · 2019–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (4) πΊοΈ Taxonomy Completionist (12) π Cross-Pollinator (13)
π
Interdisciplinary Bridge
β
The Questioner
Conferences
AISTATS (3)
NIPS (3)
AAAI (1)
ICML (1)
Top co-authors
Keywords
bayesian inference
(6)
variational inference
(4)
gaussian process
(3)
point process
(2)
markov chain monte carlo
(2)
kernel methods
(2)
kernel approximation
(1)
low-rank approximation
(1)
laplace approximation
(1)
time series
(1)
sequential monte carlo
(1)
gaussian process regression
(1)
stochastic process
(1)
stochastic volatility
(1)
posterior approximation
(1)
state space model
(1)
normalizing flow
(1)
bayesian neural network
(1)
permanental process
(1)
proposal distribution
(1)
Papers
Scalable marked point processes for exchangeable and non-exchangeable event sequences
AISTATS 2023
Sparse Spectral Bayesian Permanental Process with Generalized Kernel
AISTATS 2023
Bayesian online change point detection with Hilbert space approximate Student-t process
ICML 2023
How Good Are Low-Rank Approximations in Gaussian Process Regression?
AAAI 2022
Entropy-based adaptive Hamiltonian Monte Carlo
NIPS 2021
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers
AISTATS 2019
Copula-like Variational Inference
NIPS 2019
Gradient-based Adaptive Markov Chain Monte Carlo
NIPS 2019