Atharv Bhosekar
Statistics and Probability · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 14 citations into it
Whom Atharv Bhosekar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Atharv Bhosekar overall
Papers from Atharv Bhosekar's perspective
Ordered by how strongly the researchers Atharv Bhosekar trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Estimating the Dimension of a Model
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- The Nature of Statistical Learning Theory
- Learning Multiple Layers of Features from Tiny Images
- Efficient Global Optimization of Expensive Black-Box Functions
- The Elements of Statistical Learning
- Gradient-based learning applied to document recognition
Their papers
- Advances in surrogate based modeling, feasibility analysis, and optimization: A review (2018) — 633 citations