Marina Riabiz - RankMe

12 papers A 1B 1Misc 2Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2021	A	`conf`	Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy. AISTATS Onur Teymur, Jackson Gorham, Marina Riabiz, Chris J. Oates
2020	J	`jnl`	Nonasymptotic Gaussian Approximation for Inference With Stable Noise. IEEE Trans. Inf. Theory Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
2020	J	`jnl`	Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy. CoRR Onur Teymur, Jackson Gorham, Marina Riabiz, Chris J. Oates
2019	Misc	`conf`	The Lévy State Space Model. ACSSC Simon J. Godsill, Marina Riabiz, Ioannis Kontoyiannis
2019	J	`jnl`	The Lévy State Space Model. CoRR Simon J. Godsill, Marina Riabiz, Ioannis Kontoyiannis
2018	J	`jnl`	Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version]. CoRR Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
2018	B	`conf`	Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise. ISIT Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
2017	Misc	`conf`	Approximate simulation of linear continuous time models driven by asymmetric stable Lévy processes. ICASSP Marina Riabiz, Simon J. Godsill
2017	—	`conf`	Convergence results for tractable inference in α-stable stochastic processes. DSP Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill
2017	—	`conf`	Simulated convergence rates with application to an intractable α-stable inference problem. CAMSAP Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
2016	—	`conf`	A central limit theorem with application to inference in $\alpha$-stable regression models. NIPS Time Series Workshop Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill
2015	J	`jnl`	Fully Bayesian inference for α-stable distributions using a Poisson series representation. Digit. Signal Process. Tatjana Lemke, Marina Riabiz, Simon J. Godsill