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My ICASSP 2019 Schedule

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MLSP-P2: Reinforcement and Transfer Learning

Session Type: Poster
Time: Tuesday, May 14, 13:30 - 15:30
Location: Poster Area H, East Bar, First Floor
Session Chair: Namrata Vaswani, Iowa State University
 
  MLSP-P2.1: REINFORCEMENT LEARNING WITH SAFE EXPLORATION FOR NETWORK SECURITY
         Canhuang Dai; Xiamen University
         Liang Xiao; Xiamen University
         Xiaoyue Wan; Xiamen University
         Ye Chen; Xiamen University
 
  MLSP-P2.2: TEAM POLICY LEARNING FOR MULTI-AGENT REINFORCEMENT LEARNING
         Lucas Cassano; University of California, Los Angeles
         Sulaiman Alghunaim; University of California, Los Angeles
         Ali H. Sayed; École Polytechnique Fédérale de Lausanne
 
  MLSP-P2.3: DEEP REINFORCEMENT LEARNING FOR FINANCIAL TRADING USING PRICE TRAILING
         Konstantinos Saitas Zarkias; Aristotle University of Thessaloniki
         Nikolaos Passalis; Aristotle University of Thessaloniki
         Avraam Tsantekidis; Aristotle University of Thessaloniki
         Anastasios Tefas; Aristotle University of Thessaloniki
 
  MLSP-P2.4: JOINT ON-LINE LEARNING OF A ZERO-SHOT SPOKEN SEMANTIC PARSER AND A REINFORCEMENT LEARNING DIALOGUE MANAGER
         Matthieu Riou; University of Avignon
         Bassam Jabaian; University of Avignon
         Stéphane Huet; University of Avignon
         Fabrice Lefèvre; University of Avignon
 
  MLSP-P2.5: GRAPH SIGNAL SAMPLING VIA REINFORCEMENT LEARNING
         Oleksii Abramenko; Aalto University
         Alexander Jung; Aalto University
 
  MLSP-P2.6: BHATTACHARYYA DISTANCE-BASED TRANSFER LEARNING FOR A HYBRID EEG-FTCD BRAIN-COMPUTER INTERFACE
         Elise Dagois; University of Pittsburgh
         Aya Khalaf; University of Pittsburgh
         Ervin Sejdic; University of Pittsburgh
         Murat Akçakaya; University of Pittsburgh
 
  MLSP-P2.7: A SUBJECT-TO-SUBJECT TRANSFER LEARNING FRAMEWORK BASED ON JENSEN-SHANNON DIVERGENCE FOR IMPROVING BRAIN-COMPUTER INTERFACE
         Joshua Giles; University of Sheffield
         Kai Keng Ang; Institute for Infocomme Research
         Lyudmila Mihaylova; University of Sheffield
         Mahnaz Arvaneh; University of Sheffield
 
  MLSP-P2.8: CONTENT PLACEMENT LEARNING FOR SUCCESS PROBABILITY MAXIMIZATION IN WIRELESS EDGE CACHING NETWORKS
         Navneet Garg; University of Edinburgh
         Mathini Sellathurai; Heriot-Watt University
         Tharmalingam Ratnarajah; The University of Edinburgh
 
  MLSP-P2.9: ACTIVE LEARNING WITH LABEL PROPORTIONS
         Rafael Poyiadzis; University of Bristol
         Raul Santos-Rodriguez; University of Bristol
         Niall Twomey; University of Bristol
 
  MLSP-P2.10: COVER: A CLUSTER-BASED VARIANCE REDUCED METHOD FOR ONLINE LEARNING
         Kun Yuan; University of California, Los Angeles
         Bicheng Ying; University of California, Los Angeles
         Ali H. Sayed; École Polytechnique Fédérale de Lausanne
 
  MLSP-P2.11: FLEXIBLE NON-NEGATIVE MATRIX FACTORIZATION WITH ADAPTIVELY LEARNED GRAPH REGULARIZATION
         Yong Peng; Hangzhou Dianzi University
         Yanfang Long; Hangzhou Dianzi University
         Feiwei Qin; Hangzhou Dianzi University
         Wanzeng Kong; Hangzhou Dianzi University
         Feiping Nie; Northwestern Polytechnical University
         Andrzej Cichocki; Skolkovo Institute of Science and Technology