SS-L9: Bridging Signal Processing and Machine Learning with Gaussian Processes
Oral
Thu, 7 May, 09:00 - 11:00
Location: Room 111
Session Type: Oral
Track: Special Sessions
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Thu, 7 May, 09:00 - 09:20

SS-L9.1: ROBUST, ONLINE, AND ADAPTIVE DECENTRALIZED GAUSSIAN PROCESSES
Fernando Llorente, Brookhaven National Laboratory, United States of America; Daniel Waxman, Stony Brook University, United States of America; Sanket Jantre, Nathan M. Urban, Susan E. Minkoff, Brookhaven National Laboratory, United States of America
Thu, 7 May, 09:20 - 09:40

SS-L9.2: Gaussian Process State-Space Models for Irregularly Sampled Sequential Data
Ying Li, Zhidi Lin, University of Hong Kong, Hong Kong; Yuhao Liu, Capital One, United States of America; Michael Minyi Zhang, University of Hong Kong, Hong Kong; Petar M. Djurić, Stony Brook University, United States of America
Thu, 7 May, 09:40 - 10:00

SS-L9.3: BREAKING THE CURSE OF DIMENSIONALITY IN GAUSSIAN PROCESS TRAINING WITH ZEROTH-ORDER ADAPTIVE PERTURBATION
Richard Cornelius Suwandi, Feng Yin, Tsung-Hui Chang, The Chinese University of Hong Kong, Shenzhen, China
Thu, 7 May, 10:00 - 10:20

SS-L9.4: IRREGULAR MULTIVARIATE TIME SERIES MODELING VIA LATENT GRAPH-GUIDED GAUSSIAN PROCESS PRIORS
Siyuan Li, Shikai Fang, Lei Cheng, Zhejiang University, China; Alexandre Thiery, National University of Singapore, Singapore; Sergios Theodoridis, HERON, Greece
Thu, 7 May, 10:20 - 10:40

SS-L9.5: Conformalized Gaussian processes for online uncertainty quantification over graphs
Jinwen Xu, Qin Lu, University of Georgia, United States of America; Georgios B. Giannakis, University of Minnesota, United States of America
Thu, 7 May, 10:40 - 11:00

SS-L9.6: SOURCE LOCALIZATION AND ACOUSTIC INVERSION USING BAYESIAN OPTIMIZATION WITH LOCAL GAUSSIAN PROCESSES
William Jenkins, University of California San Diego, United States of America; Peter Gerstoft, Technical University of Denmark, Denmark; Yongsung Park, Woods Hole Oceanographic Institution, United States of America