 
| MLSP-L2: Learning Theory and Models I | 
| Session Type: Lecture | 
| Time: Wednesday, March 17, 13:30 - 15:30 | 
| Location: Room D3 | 
| Session Chair: Jan Larsen, Technical University of Denmark | 
| MLSP-L2.1: FIXED-BUDGET KERNEL RECURSIVE LEAST-SQUARES | 
| Steven Van Vaerenbergh; University of Cantabria | 
| Ignacio Santamaria; University of Cantabria | 
| Weifeng Liu; Amazon.com | 
| Jose C. Principe; University of Florida | 
| MLSP-L2.2: FLEXIBLE ADAPTIVE FILTERING BY MINIMIZATION OF ERROR ENTROPY BOUND AND ITS APPLICATION TO SYSTEM IDENTIFICATION | 
| Xi-Lin Li; University of Maryland, Baltimore County | 
| Tulay Adali; University of Maryland, Baltimore County | 
| MLSP-L2.3: CONVERGENCE ANALYSIS OF CONSENSUS-BASED DISTRIBUTED CLUSTERING | 
| Pedro A. Forero; University of Minnesota | 
| Alfonso Cano; University of Minnesota | 
| Georgios B. Giannakis; University of Minnesota | 
| MLSP-L2.4: SUPERVISED TOPIC MODEL FOR AUTOMATIC IMAGE ANNOTATION | 
| Duangmanee Putthividhya; University of California, San Diego | 
| Hagai Attias; Golden Metallic, Inc. | 
| Srikantan Nagarajan; University of California, San Francisco | 
| MLSP-L2.5: ASYMPTOTIC ANALYSIS OF THE HUBERIZED LASSO ESTIMATOR | 
| Xiaohui Chen; University of British Columbia | 
| Z.Jane Wang; University of British Columbia | 
| Martin McKeown; University of British Columbia | 
| MLSP-L2.6: A MINIMAX APPROACH TO BAYESIAN ESTIMATION WITH PARTIAL KNOWLEDGE OF THE OBSERVATION MODEL | 
| Tomer Michaeli; Technion - Israel Institute of Technology | 
| Yonina Eldar; Technion - Israel Institute of Technology |