10.9k citations
- Argonne National LaboratoryUS307 papers
- Centre National de la Recherche ScientifiqueFR298 papers
- University of PittsburghUS296 papers
- University of OxfordGB292 papers
- Lawrence Berkeley National LaboratoryUS291 papers
- University of GenevaCH287 papers
- University of LiverpoolGB286 papers
- The Ohio State UniversityUS285 papers
- University of ChicagoUS283 papers
- University of GlasgowGB280 papers
- Yale UniversityUS280 papers
- Institute for High Energy PhysicsES278 papers
4 papers · 2 filters
On Statistical Efficiency in Learning
Jie Ding, Enmao Diao, Jiawei Zhou +1
A central issue of many statistical learning problems is to select an appropriate model from a set of candidate models. Large models tend to inflate the variance (or overfitting),…
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference
Sean Plummer, Shuang Zhou, Anirban Bhattacharya +2
Transformation-based methods have been an attractive approach in non-parametric inference for problems such as unconditional and conditional density estimation due to their unique…
Convergence of Graph Laplacian with kNN Self-tuned Kernels
Xiuyuan Cheng, Hau-Tieng Wu
Kernelized Gram matrix constructed from data points as is widely used in graph-based geometric data analysis…
Reduced Rank Multivariate Kernel Ridge Regression
Wenjia Wang, Yi-Hui Zhou
In the multivariate regression, also referred to as multi-task learning in machine learning, the goal is to recover a vector-valued function based on noisy observations. The vector…