MLSP-P16: Sequential Learning and Sequential Decision Methods
Wed, 17 Apr, 13:10 - 15:10 (UTC +9)
Location: Poster Zone 4C
Session Type: Poster
Session Chair: Ercan E. Kuruoglu, Tsinghua University
Track: Machine Learning for Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
 

MLSP-P16.1: NON-STATIONARY BANDITS WITH PERIODIC BEHAVIOR: HARNESSING RAMANUJAN PERIODICITY TRANSFORMS TO CONQUER TIME-VARYING CHALLENGES
Parth Thaker, Vineet Gattani, Vignesh Tirukkonda, Pouria Saidi, Gautam Dasarathy, Arizona State University, United States of America
 

MLSP-P16.2: SEQUENTIAL ACQUISITION OF FEATURES AND EXPERTS FOR DATUM–WISE CLASSIFICATION
Sachini Piyoni Ekanayake, Daphney–Stavroula Zois, University at Albany, State University of New York, United States of America
 

MLSP-P16.3: RAPID CHANGE LOCALIZATION IN DYNAMIC GRAPHICAL MODELS
Abrar Zahin, Weizhi Li, Gautam Dasarathy, Arizona State University, United States of America
 

MLSP-P16.4: GRAPH IDENTIFICATION AND UPPER CONFIDENCE EVALUATION FOR CAUSAL BANDITS WITH LINEAR MODELS
Chen Peng, Di Zhang, Urbashi Mitra, University of Southern California, United States of America
 

MLSP-P16.5: STREAMING ACTIVE LEARNING FOR REGRESSION PROBLEMS USING REGRESSION VIA CLASSIFICATION
Shota Horiguchi, Kota Dohi, Yohei Kawaguchi, Hitachi, Ltd., Japan
 

MLSP-P16.6: FILTER-ENHANCED HYPERGRAPH TRANSFORMER FOR MULTI-BEHAVIOR SEQUENTIAL RECOMMENDATION
Zhufeng Shao, Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China, China; Shoujin Wang, University of Technology Sydney, Australia; Wenpeng Lu, Weiyu Zhang, Hongjiao Guan, Long Zhao, Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China, China
 

MLSP-P16.7: SEA-GNN: SEQUENCE EXTENSION AUGMENTED GRAPH NEURAL NETWORK FOR SEQUENTIAL RECOMMENDATION
Geyunqian Zu, Shengjie Zhao, Jin Zeng, Shilong Dong, Zixuan Chen, Tongji University, China
 

MLSP-P16.8: SEQUENTIAL DETECTION OF ANOMALIES IN NOISY OUTPUTS OF AN UNKNOWN FUNCTION USING GAUSSIAN AND YULE-SIMON PROCESSES
Liu Yang, Kurt Butler, Petar M. Djurić, Stony Brook University, United States of America
 

MLSP-P16.9: P2DT: MITIGATING FORGETTING IN TASK-INCREMENTAL LEARNING WITH PROGRESSIVE PROMPT DECISION TRANSFORMER
Zhiyuan Wang, Tsinghua University, China; Xiaoyang Qu, Jing Xiao, Ping An Technology (Shenzhen) Co., Ltd., China; Bokui Chen, Tsinghua University, China; Jianzong Wang, Ping An Technology (Shenzhen) Co., Ltd., China
 

MLSP-P16.10: STRATEGIC ARMS WITH SIDE COMMUNICATION PREVAIL OVER LOW-REGRET MAB ALGORITHMS
Ahmed Ben Yahmed, Ecole Normale Supérieure Paris Saclay, France; Clément Calauzènes, Criteo AI Lab, France; Vianney Perchet, CREST, ENSAE / Criteo AI Lab, France
 

MLSP-P16.11: CLASS-WISE BUFFER MANAGEMENT FOR INCREMENTAL OBJECT DETECTION: AN EFFECTIVE BUFFER TRAINING STRATEGY
Junsu Kim, Ulsan National Institute of Science and Technology, Korea, Republic of; Sumin Hong, Seoul National University of Science and Technology, Korea, Republic of; Chanwoo Kim, jihyeon Kim, Yihalem Yimolal Tiruneh, Ulsan National Institute of Science and Technology, Korea, Republic of; Jeongwan On, Chonnam National University, Korea, Republic of; jihyun song, Sunhwa choi, LG Electronics, Korea, Republic of; Seungryul Baek, Ulsan National Institute of Science and Technology, Korea, Republic of
 

MLSP-P16.12: PUSH4REC: TEMPORAL AND CONTEXTUAL TREND-AWARE TRANSFORMER PUSH NOTIFICATION RECOMMENDER
Chu-Chun Yu, National Taiwan University, Taiwan; Ming-Yi Hong, National Taiwan University and Academia Sinica, Taiwan; Chiok Yew Ho, Che Lin, National Taiwan University, Taiwan