MLSP-41: Deep Learning Optimization |
Session Type: Poster |
Time: Friday, 11 June, 11:30 - 12:15 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Mert Pilanci, Stanford University |
MLSP-41.1: CONVEX NEURAL AUTOREGRESSIVE MODELS: TOWARDS TRACTABLE, EXPRESSIVE, AND THEORETICALLY-BACKED MODELS FOR SEQUENTIAL FORECASTING AND GENERATION |
Vikul Gupta; Stanford University |
Burak Bartan; Stanford University |
Tolga Ergen; Stanford University |
Mert Pilanci; Stanford University |
MLSP-41.2: INERTIAL PROXIMAL DEEP LEARNING ALTERNATING MINIMIZATION FOR EFFICIENT NEUTRAL NETWORK TRAINING |
Linbo Qiao; National University of Defense Technology |
Tao Sun; National University of Defense Technology |
Hengyue Pan; National University of Defense Technology |
Dongsheng Li; National University of Defense Technology |
MLSP-41.3: KALMAN OPTIMIZER FOR CONSISTENT GRADIENT DESCENT |
Xingyi Yang; University of California, San Diego |
MLSP-41.4: KALMANNET: DATA-DRIVEN KALMAN FILTERING |
Guy Revach; ETH Zurich |
Nir Shlezinger; Ben-Gurion University of the Negev |
Ruud J. G. van Sloun; Eindhoven University of Technology, and with Phillips Research |
Yonina C. Eldar; Weizmann Institute of Science |
MLSP-41.5: HCGM-NET: A DEEP UNFOLDING NETWORK FOR FINANCIAL INDEX TRACKING |
Ruben Pauwels; VRIJE UNIVERSITEIT BRUSSELS |
Evaggelia Tsiligianni; University of Ioannina |
Nikos Deligiannis; VRIJE UNIVERSITEIT BRUSSELS |
MLSP-41.6: AUGMENTING TRANSFERRED REPRESENTATIONS FOR STOCK CLASSIFICATION |
Elizabeth Fons; University of Manchester |
Paula Dawson; AllianceBernstein |
Xiao-jun Zeng; University of Manchester |
John Keane; University of Manchester |
Alexandros Iosifidis; Aarhus University |