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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