Technical Program
MLSP-P9: Probabilistic Modeling for Learning |
Session Type: Poster |
Time: Thursday, March 9, 13:30 - 15:30 |
Location: Churchill: Poster Area D |
Session Chair: Mamadou Mboup, University of Reims Champagne Ardenne, France |
MLSP-P9.1: A HIERARCHICAL DIRICHLET PROCESS MIXTURE OF GID DISTRIBUTIONS WITH FEATURE SELECTION FOR SPATIO-TEMPORAL VIDEO MODELING AND SEGMENTATION |
Wentao Fan; Huaqiao University |
Nizar Bouguila; Concordia University |
Xin Liu; Huaqiao University |
MLSP-P9.2: MULTIVARIATE SCALE MIXTURES FOR JOINT SPARSE REGULARIZATION IN MULTI-TASK LEARNING |
Ritwik Giri; University of California, San Diego |
Bhaskar D. Rao; University of California, San Diego |
MLSP-P9.3: DYNAMIC PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS FOR VIDEO CLASSIFICATION |
Alessandro Fabris; Imperial College London |
Mihalis Nicolaou; Goldsmiths, University of London |
Irene Kotsia; Middlesex University London |
Stefanos Zafeiriou; Imperial College London |
MLSP-P9.4: MULTI-ARMED BANDITS IN MULTI-AGENT NETWORKS |
Shahin Shahrampour; Harvard University |
Alexander Rakhlin; University of Pennsylvania |
Ali Jadbabaie; Massachusetts Institute of Technology |
MLSP-P9.5: REDUCING TOTAL LATENCY IN ONLINE REAL-TIME INFERENCE AND DECODING VIA COMBINED CONTEXT WINDOW AND MODEL SMOOTHING LATENCIES |
Chandrashekhar Lavania; University of Washington, Seattle |
Jeff Bilmes; University of Washington, Seattle |
MLSP-P9.6: KERNEL LEAST MEAN SQUARE BASED ON CONJUGATE GRADIENT |
Siyuan Peng; Nanyang Technological University |
Zongze Wu; Guangdong University of Technology |
Wentao Ma; Xi'an University of Technology |
Badong Chen; Xi'an Jiaotong University |
MLSP-P9.7: ONLINE ANOMALY DETECTION USING NESTED DECISION TREES |
Ibrahim Delibalta; Koc University |
Kaan Gokcesu; Bilkent University |
Mustafa Simsek; Bilkent University |
Lemi Baruh; Koc University |
Suleyman S. Kozat; Bilkent University |
MLSP-P9.8: LEARNING ONLINE ALIGNMENTS WITH CONTINUOUS REWARDS POLICY GRADIENT |
Yuping Luo; Tsinghua University |
Chung-Cheng Chiu; Google Brain |
Navdeep Jaitly; Google Brain |
Ilya Sutskever; Open AI |
MLSP-P9.9: DIRICHLET MIXTURE MATCHING PROJECTION FOR SUPERVISED LINEAR DIMENSIONALITY REDUCTION OF PROPORTIONAL DATA |
Walid Masoudimansour; Concordia University |
Nizar Bouguila; Concordia University |
MLSP-P9.10: ONLINE LEARNING OF TIME-FREQUENCY PATTERNS |
Jose F. Ruiz-Munoz; Universidad Nacional de Colombia |
Raviv Raich; Oregon State University |
Mauricio Orozco-Alzate; Universidad Nacional de Colombia |
Xiaoli Z. Fern; Oregon State University |