Tensor Methods |
| Session Type: Lecture |
| Time: Monday, June 3, 16:20 - 18:00 |
| Location: Lecture Room 1 |
| Session Chair: Lieven De Lathauwer, KU Leuven - KULAK |
| Paper #1: STATISTICAL LEARNING USING HIERARCHICAL MODELING OF PROBABILITY TENSORS |
| Magda Amiridi; University of Virginia |
| Nikos Kargas; University of Minnesota |
| Nicholas D. Sidiropoulos; University of Virginia |
| Paper #2: LEARNING PARTIALLY OBSERVABLE MARKOV DECISION PROCESSES USING COUPLED CANONICAL POLYADIC DECOMPOSITION |
| Kejun Huang; University of Florida |
| Zhuoran Yang; Princeton University |
| Zhaoran Wang; Northwestern University |
| Mingyi Hong; University of Minnesota |
| Paper #3: STOCHASTIC OPTIMIZATION FOR COUPLED TENSOR DECOMPOSITION WITH APPLICATIONS IN STATISTICAL LEARNING |
| Shahana Ibrahim; Oregon State University |
| Xiao Fu; Oregon State University |
| Paper #4: CANONICAL POLYADIC (CP) DECOMPOSITION OF STRUCTURED SEMI-SYMMETRIC FOURTH-ORDER TENSORS |
| Ali Koochakzadeh; University of California, San Diego |
| Piya Pal; University of California, San Diego |
| Paper #5: RECENT NUMERICAL AND CONCEPTUAL ADVANCES FOR TENSOR DECOMPOSITIONS — A PREVIEW OF TENSORLAB 4.0 |
| Nico Vervliet; KU Leuven |
| Michiel Vandecappelle; KU Leuven - KULAK |
| Martijn Boussé; KU Leuven |
| Rob Zink; KU Leuven |
| Lieven De Lathauwer; KU Leuven - KULAK |