MLSP-P24.7
CONTEXT-AWARE PREFERENCE LEARNING SYSTEM BASED ON DIRICHLET PROCESS GAUSSIAN MIXTURE MODEL
Xianbo Xu, Bart van Erp, Eindhoven University of Technology, Netherlands; Tanya Ignatenko, GN Hearing, Netherlands
Session:
MLSP-P24: Learning Theory and Performance Bound Poster
Track:
Machine Learning for Signal Processing
Location:
Poster Zone 5B
Poster Board PZ-5B.7
Poster Board PZ-5B.7
Presentation Time:
Thu, 18 Apr, 08:20 - 10:20 (UTC +9)
Session Chair:
Stefan Vlaski, Imperial College London
Session MLSP-P24
MLSP-P24.1: ADAPTIVE MULTI-ARMED BANDIT LEARNING FOR TASK OFFLOADING IN MOBILE EDGE COMPUTING
Lin Wang, Jingjing Zhang, Fudan University, China
MLSP-P24.2: OPTIMAL ANN-SNN CONVERSION WITH GROUP NEURONS
Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian, Peking University, China
MLSP-P24.3: FAST TEST ERROR RATES FOR GRADIENT-BASED ALGORITHMS ON SEPARABLE DATA
Puneesh Deora, University of British Columbia, Canada; Bhavya Vasudeva, Vatsal Sharan, University of Southern California, United States of America; Christos Thrampoulidis, University of British Columbia, Canada
MLSP-P24.4: DIFFUSION OPTIMISTIC LEARNING FOR MIN-MAX OPTIMIZATION
Haoyuan Cai, École Polytechnique Fédérale de Lausanne, Switzerland; Sulaiman A. Alghunaim, Kuwait University, Kuwait; Ali H. Sayed, École Polytechnique Fédérale de Lausanne, Switzerland
MLSP-P24.5: LEARNING DYNAMICS OF LOW-PRECISION CLIPPED SGD WITH MOMENTUM
Roula Nassif, Université Côte d'Azur, France; Soummya Kar, Carnegie Mellon University, United States of America; Stefan Vlaski, Imperial College London, United Kingdom of Great Britain and Northern Ireland
MLSP-P24.6: A PLS-INTEGRATED LASSO METHOD WITH APPLICATION IN INDEX TRACKING
Shiqin Tang, Yining Dong, City University of Hong Kong, Hong Kong; S. Joe Qin, Lingnan University, Hong Kong
MLSP-P24.7: CONTEXT-AWARE PREFERENCE LEARNING SYSTEM BASED ON DIRICHLET PROCESS GAUSSIAN MIXTURE MODEL
Xianbo Xu, Bart van Erp, Eindhoven University of Technology, Netherlands; Tanya Ignatenko, GN Hearing, Netherlands
MLSP-P24.8: AUTONOMOUS GENERATIVE FEATURE REPLAY FOR NON-EXEMPLAR CLASS-INCREMENTAL LEARNING
Yinjie Zhang, Southeast University, China; Ming Shao, University of Massachusetts Dartmouth, United States of America; Wenlong Shi, Haifeng Xia, Siyu Xia, Southeast University, China
MLSP-P24.9: FAST APPROXIMATION OF THE GENERALIZED SLICED-WASSERSTEIN DISTANCE
Dung Le, École Polytechnique, France; Huy Nguyen, Khai Nguyen, The University of Texas at Austin, United States of America; Trang Nguyen, VinAI Research, Viet Nam; Nhat Ho, The University of Texas at Austin, United States of America
MLSP-P24.10: COMPARING AND COMBINING AUDIO PROCESSING AND DEEP LEARNING FEATURES FOR CLASSIFICATION OF HEARTBEAT SOUNDS
Vinícius Araújo Rabello Landeira, Aeronautics Institute of Technology, Brazil; Jardel Oliveira Santos, Banco PAN, Brazil; Hitoshi Nagano, Getulio Vargas Foundation, Brazil
MLSP-P24.11: COMPUTATIONAL COMPLEXITY OF ASYNCHRONOUS POLICY ITERATION FOR TWO-PLAYER ZERO-SUM MARKOV GAMES
Chenyu Xu, Iowa State University, United States of America; Sihai Zhang, University of Science and Technology of China, China; Zhengdao Wang, George Mason University, United States of America
MLSP-P24.12: Online Caching with Switching Cost and Operational Long-term Constraints: An Online Learning Approach
Zifan Jia, Institute of Information Engineering, Chinese Academy of Sciences, School of Cyber Security, University of Chinese Academy of Sciences, Key Lab of Cyberspace Security Defense, China; Qingsong Liu, IIIS, Tsinghua University, China; Xiaoyan Gu, Institute of Information Engineering, Chinese Academy of Sciences, School of Cyber Security, University of Chinese Academy of Sciences, Key Lab of Cyberspace Security Defense, China; Haihui Fan, Feifei Dai, Bo Li, Institute of Information Engineering, Chinese Academy of Sciences, Key Lab of Cyberspace Security Defense, China; Weiping Wang, Institute of Information Engineering, China
Contacts