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My ICASSP 2017 Schedule

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MLSP-P10: Learning Theory

Session Type: Poster
Time: Thursday, March 9, 16:00 - 18:00
Location: Churchill: Poster Area D
Session Chair: Karim Seghouane, University of Melbourne
 
  MLSP-P10.1: BALANCING EXPLORATION AND EXPLOITATION IN REINFORCEMENT LEARNING USING A VALUE OF INFORMATION CRITERION
         Isaac Sledge; University of Florida
         Jose C. Principe; University of Florida
 
  MLSP-P10.2: THE COUNTERINTUITIVE MECHANISM OF GRAPH-BASED SEMI-SUPERVISED LEARNING IN THE BIG DATA REGIME
         Xiaoyi Mai; Beihang University
         Romain Couillet; CentraleSupélec
 
  MLSP-P10.3: LEARNING TIME VARYING GRAPHS
         Vassilis Kalofolias; École Polytechnique Fédérale de Lausanne
         Andreas Loukas; École Polytechnique Fédérale de Lausanne
         Dorina Thanou; École Polytechnique Fédérale de Lausanne
         Pascal Frossard; École Polytechnique Fédérale de Lausanne
 
  MLSP-P10.4: AN EFFICIENT MIXTURE OF EXPERTS METHOD FOR BIG DATA APPLICATIONS
         O. Fatih Kilic; Bilkent University
         M. Omer Sayin; University of Illinois at Urbana-Champaign
         Suleyman S. Kozat; Bilkent University
 
  MLSP-P10.5: BAYESIAN JOINT-SEQUENCE MODELS FOR GRAPHEME-TO-PHONEME CONVERSION
         Mirko Hannemann; Brno University of Technology
         Jan Trmal; Johns Hopkins University
         Lucas Ondel; Brno University of Technology
         Santosh Kesiraju; Indian Institute of Technology Hyderabad
         Lukas Burget; Brno University of Technology
 
  MLSP-P10.6: COMPUTATIONALLY FEASIBLE ONLINE SECOND ORDER TIME SERIES PREDICTOR
         Burak C. Civek; Bilkent University
         Suleyman S. Kozat; Bilkent University
 
  MLSP-P10.7: LEARNING ROTATION INVARIANCE IN DEEP HIERARCHIES USING CIRCULAR SYMMETRIC FILTERS
         Dhruv Kohli; Samsung Research & Development Institute
         Biplab Das; Samsung Research & Development Institute
         Viswanath Gopalakrishnan; Samsung Research & Development Institute
         Kiran Iyer; Samsung Research & Development Institute
 
  MLSP-P10.8: DEEP MULTI-VIEW ROBUST REPRESENTATION LEARNING
         Zhenyu Jiao; Peking University
         Chao Xu; Peking University
 
  MLSP-P10.9: ESTIMATION AND LEARNING OF DYNAMIC NONLINEAR NETWORKS (DYNNETS)
         Mojtaba Sahraee-Ardakan; University of California, Los Angeles
         Alyson K. Fletcher; University of California, Los Angeles
 
  MLSP-P10.10: ACCELERATING DEEP CONVOLUTIONAL NETWORKS USING LOW-PRECISION AND SPARSITY
         Ganesh Venkatesh; Intel Labs
         Eriko Nurvitadhi; Intel Labs
         Debbie Marr; Intel Labs