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 |