Statistical Learning
Learning Abstract Options
Matthew Riemer, Miao Liu, Gerald Tesauro
Neural Information Processing Systems http://nips.cc/
High Dimensional Linear Regression using Lattice Basis Reduction
Neural Information Processing Systems http://nips.cc/
Domain-Invariant Projection Learning for Zero-Shot Recognition
An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen
Neural Information Processing Systems http://nips.cc/
Orthogonally Decoupled Variational Gaussian Processes
Hugh Salimbeni, Ching-An Cheng, Byron Boots, Marc Deisenroth
Neural Information Processing Systems http://nips.cc/
Sketching Method for Large Scale Combinatorial Inference
Neural Information Processing Systems http://nips.cc/
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions
The line, triangular and square shapes represent the joint distribution of two, three and four variables respectively.
A Refined Margin Distribution Analysis for Forest Representation Learning
Shen-Huan Lyu, Liang Yang, Zhi-Hua Zhou
Neural Information Processing Systems http://nips.cc/
Geometry Based Data Generation
Ofir Lindenbaum, Jay Stanley, Guy Wolf, Smita Krishnaswamy
Neural Information Processing Systems http://nips.cc/