2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

MLSP-22: Sequential Learning

Session Type: Poster
Time: Wednesday, 9 June, 15:30 - 16:15
Location: Gather.Town
Session Chair: Jen-Tzung Chien, National Chiao Tung University
 
MLSP-22.1: INCORPORATE MAXIMUM MEAN DISCREPANCY IN RECURRENT LATENT SPACE FOR SEQUENTIAL GENERATIVE MODEL
         Yuchi Zhang; Ant Group
         Yongliang Wang; Ant Group
         Yang Dong; Ant Group
 
MLSP-22.2: FMA-ETA: ESTIMATING TRAVEL TIME ENTIRELY BASED ON FFN WITH ATTENTION
         Yiwen Sun; Tsinghua University
         Yulu Wang; Tsinghua University
         Kun Fu; DiDi AI Labs
         Zheng Wang; DiDi AI Labs
         Ziang Yan; Tsinghua University
         Changshui Zhang; Tsinghua University
         Jieping Ye; DiDi AI Labs; University of Michigan, Ann Arbor
 
MLSP-22.3: A UNIFIED APPROACH TO TRANSLATE CLASSICAL BANDIT ALGORITHMS TO STRUCTURED BANDITS
         Samarth Gupta; Carnegie Mellon University
         Shreyas Chaudhari; Carnegie Mellon University
         Subhojyoti Mukherjee; University of Wisconsin-Madison
         Gauri Joshi; Carnegie Mellon University
         Osman Yagan; Carnegie Mellon University
 
MLSP-22.4: NEAR-OPTIMAL ALGORITHMS FOR PIECEWISE-STATIONARY CASCADING BANDITS
         Lingda Wang; University of Illinois at Urbana-Champaign
         Huozhi Zhou; University of Illinois at Urbana-Champaign
         Bingcong Li; University of Minnesota - Twin Cities
         Lav R. Varshney; University of Illinois at Urbana-Champaign
         Zhizhen Zhao; University of Illinois at Urbana-Champaign
 
MLSP-22.5: OPTIMUM FEATURE ORDERING FOR DYNAMIC INSTANCE–WISE JOINT FEATURE SELECTION AND CLASSIFICATION
         Yasitha Warahena Liyanage; University at Albany, State University of New York
         Daphney-Stavroula Zois; University at Albany, State University of New York
 
MLSP-22.6: POLA: ONLINE TIME SERIES PREDICTION BY ADAPTIVE LEARNING RATES
         Wenyu Zhang; Institute for Infocomm Research, A*STAR