MLSP-L19: Bayesian Machine Learning
Thu, 18 Apr, 16:30 - 18:30 (UTC +9)
Location: Room E2
Session Type: Lecture
Session Co-Chairs: Feng Yin, Chinese University of Hong Kong and Peter Gerstoft, University of California San Diego
Track: Machine Learning for Signal Processing
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Thu, 18 Apr, 16:30 - 16:50 (UTC +9)
 

MLSP-L19.1: BAYESIAN OPTIMIZATION WITH GAUSSIAN PROCESSES FOR ROBUST LOCALIZATION
William Jenkins, Peter Gerstoft, University of California San Diego, United States of America
Thu, 18 Apr, 16:50 - 17:10 (UTC +9)
 

MLSP-L19.2: A NOVEL ARCHITECTURE OF DEEP FEATURE-BASED GAUSSIAN PROCESSES WITH AN ENSEMBLE OF KERNELS
Yuanqing Song, Yuhao Liu, Petar Djuric, Stony Brook University, United States of America
Thu, 18 Apr, 17:10 - 17:30 (UTC +9)
 

MLSP-L19.3: RANDOMIZED MAXIMUM LIKELIHOOD VIA HIGH-DIMENSIONAL BAYESIAN OPTIMIZATION
Valentin Breaz, Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP*, LJK, France; Richard Wilkinson, University of Nottingham, United Kingdom of Great Britain and Northern Ireland
Thu, 18 Apr, 17:30 - 17:50 (UTC +9)
 

MLSP-L19.4: Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks
Sanket Jantre, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon, Brookhaven National Laboratory, United States of America
Thu, 18 Apr, 17:50 - 18:10 (UTC +9)
 

MLSP-L19.5: IMPROVING OPEN-SET RECOGNITION WITH BAYESIAN METRIC LEARNING
Tong Chen, Guanchao Feng, Petar Djuric, Stony Brook University, United States of America
Thu, 18 Apr, 18:10 - 18:30 (UTC +9)
 

MLSP-L19.6: SUNFLOWER STRATEGY FOR BAYESIAN RELATIONAL DATA ANALYSIS
Masahiro Nakano, Ryohei Shibue, Kunio Kashino, NTT Communication Science Laboratories, Japan