SiG-DML-L2: Bayesian and Sequential Learning
Fri, 4 Sep, 10:30 - 12:30
Location: Chamber Music Hall
Session Type: Lecture
Session Chair: Emilie Chouzenoux, Inria Saclay
Track: 6: SiG-DML - Signal and Data Analytics for Machine Learning
Fri, 4 Sep, 10:30 - 10:50

SiG-DML-L2.1: ADAPTIVE SEQUENTIAL FEATURE GROUPING AND ACQUISITION FOR COST–EFFICIENT CLASSIFICATION
Joy Saha, Daphney-Stavroula Zois, University at Albany, United States
Fri, 4 Sep, 10:50 - 11:10

SiG-DML-L2.2: MMD-based Sequential Change Detection with Reduced False Alarm Rate
Thanh Lam Dang, Orange - IMT Atlantique, France; Christophe Dousson, Orange, France; Sandrine Vaton, Thierry Chonavel, IMT Atlantique, Lab-STICC, UMR CNRS 6285, France
Fri, 4 Sep, 11:10 - 11:30

SiG-DML-L2.3: ONLINE REINFORCEMENT LEARNING VIA SPARSE GAUSSIAN MIXTURE MODEL Q-FUNCTIONS
Minh Vu, Konstantinos Slavakis, Institute of Science Tokyo, Japan
Fri, 4 Sep, 11:30 - 11:50

SiG-DML-L2.4: INTEGRATING LAGRANGIAN NEURAL NETWORKS INTO THE DYNA FRAMEWORK FOR REINFORCEMENT LEARNING
Shreya Das, Kundan Kumar, Aalto University, Finland, Finland; Muhammad Iqbal, VTT Technical Research Centre of Finland, Finland; Outi Savolainen, University of Helsinki, Finland, Finland; Dominik Baumann, Aalto University, Finland, Finland; Laura Ruotsalainen, University of Helsinki, Finland, Finland; Simo Särkkä, Aalto University, Finland, Finland
Fri, 4 Sep, 11:50 - 12:10

SiG-DML-L2.5: Continuous Forecasting of Sound Speed Field Via Multi-output Gaussian Processes-aided Diffusion
Ce Gao, Siyuan Li, Lei Cheng, Ting Zhang, Jianlong Li, College of Information Science and Electronic Engineering, Zhejiang University, China; Peter Gerstoft, Technical University of Denmark, 2800 Lyngby, Denmark; NoiseLab, University of California San Diego, La Jolla, CA 92093, USA, United States
Fri, 4 Sep, 12:10 - 12:30

SiG-DML-L2.6: FREE ENERGY BASED MODEL DETECTING PARTICLE FILTERS IN INDOOR UAV HEIGHT ESTIMATION
Disha Ghoshal, Xiaokun Zhao, Mónica Bugallo, Stony Brook University, United States