Technical Program
MLSP-P3: Learning Theory and Algorithms I |
| Session Type: Poster |
| Time: Wednesday, May 29, 08:00 - 10:00 |
| Location: Poster Area E |
| Session Chair: Saeid Sanei, University of Surrey |
| MLSP-P3.1: CONVEX APPROXIMATION OF THE NP-HARD SEARCH PROBLEM IN FEATURE SUBSET SELECTION |
| Tofigh Naghibi; ETH Zurich |
| Sarah Hoffmann; ETH Zurich |
| Beat Pfister; ETH Zurich |
| MLSP-P3.2: NEAREST-NEIGHBOR DISTRIBUTED LEARNING UNDER COMMUNICATION CONSTRAINTS |
| Stefano Marano; University of Salerno |
| Vincenzo Matta; University of Salerno |
| Peter Willett; University of Connecticut |
| MLSP-P3.3: DISCRIMINATIVE DICTIONARY LEARNING VIA MUTUAL EXCLUSION |
| Raghu Raj; U.S. Naval Research Laboratory |
| MLSP-P3.4: STAGEWISE K-SVD TO DESIGN EFFICIENT DICTIONARIES FOR SPARSE REPRESENTATIONS |
| Cristian Rusu; University Politehnica of Bucharest |
| Bogdan Dumitrescu; University Politehnica of Bucharest |
| MLSP-P3.5: DISTRIBUTED OPTIMIZATION VIA ADAPTIVE REGULARIZATION FOR LARGE PROBLEMS WITH SEPARABLE CONSTRAINTS |
| Elad Gilboa; Washington University in St. Louis |
| Phani Chavali; Washington University in St. Louis |
| Peng Yang; Washington University in St. Louis |
| Arye Nehorai; Washington University in St. Louis |
| MLSP-P3.6: SMOOTHED SIMCO FOR DICTIONARY LEARNING: HANDLING THE SINGULARITY ISSUE |
| Xiaochen Zhao; Imperial College London |
| Guangyu Zhou; Imperial College London |
| Wei Dai; Imperial College London |
| MLSP-P3.7: TRADEOFFS IN IMPROVED SCREENING OF LASSO PROBLEMS |
| Yun Wang; Princeton University |
| Zhen James Xiang; Princeton University |
| Peter J. Ramadge; Princeton University |
| MLSP-P3.8: A GENERATIVE SEMI-SUPERVISED MODEL FOR MULTI-VIEW LEARNING WHEN SOME VIEWS ARE LABEL-FREE |
| Gaole Jin; Oregon State University |
| Raviv Raich; Oregon State University |
| David Miller; The Pennsylvania State University |
| MLSP-P3.9: THE 2-CODEWORD SCREENING TEST FOR LASSO PROBLEMS |
| Hao Wu; Hong Kong University of Science and Technology |
| Peter J. Ramadge; Princeton University |
| MLSP-P3.10: END-TO-END LEARNING OF PARSING MODELS FOR INFORMATION RETRIEVAL |
| Jennifer Gillenwater; University of Pennsylvania |
| Xiaodong He; Microsoft Research |
| Jianfeng Gao; Microsoft Research |
| Li Deng; Microsoft Research |
| MLSP-P3.11: BI-ALTERNATING DIRECTION METHOD OF MULTIPLIERS |
| Guoqiang Zhang; Delft University of Technology |
| Richard Heusdens; Delft University of Technology |
| MLSP-P3.12: ONLINE MULTI-LABEL LEARNING WITH ACCELERATED NONSMOOTH STOCHASTIC GRADIENT DESCENT |
| Sunho Park; Pohang University of Science and Technology (POSTECH) |
| Seungjin Choi; Pohang University of Science and Technology (POSTECH) |
| MLSP-P3.13: LP-REGULARIZED OPTIMIZATION BY USING ORTHANT-WISE APPROACH FOR INDUCING SPARSITY |
| Takumi Kobayashi; National Institute of Advanced Industrial Science and Technology |
| MLSP-P3.14: AN ENHANCED SPLITTING-WHILE-MERGING ALGORITHM WITH FINITE MIXTURE MODELS |
| Rui Fa; Brunel University |
| Asoke K. Nandi; Brunel University |