Mladen Kolar
Statistics and Probability · 2008–2017
A researcher in the Science corpus: 10 papers; trusts 97 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 135 citations into it; #9,843 of 12,932 by trust here, #6,552 by citations
- Artificial Intelligence — 91 citations into it; #15,261 of 35,345 by trust here, #13,353 by citations
- Computational Mechanics — 66 citations into it; #4,602 of 10,001 by trust here, #4,178 by citations
- Optimization & Training — 48 citations into it; #1,526 of 2,601 by trust here, #1,942 by citations
- Statistical Learning Theory — 43 citations into it
- Computer Networks and Communications — 22 citations into it; #4,143 of 9,886 by trust here, #4,128 by citations
- Computer Vision and Pattern Recognition — 22 citations into it
- Management Science and Operations Research — 18 citations into it
Whom Mladen Kolar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Martin J. Wainwright
- Robert Tibshirani
- Jerome H. Friedman
- Trevor J. Hastie
- Alexandre Belloni
- Nicolai Meinshausen
- Cun-Hui Zhang
- Ming Yuan
- Sara A. van de Geer
- Hui Zou
Who trusts Mladen Kolar overall
- Peter J. Danaher
- Mohammad Rostami
- Kun Zhang
- Yu Zhang
- Biwei Huang
- Eric P. Xing
- Chi Zhang
- Pei Wang
- Le Song
- Qiang Yang
Papers from Mladen Kolar's perspective
Ordered by how strongly the researchers Mladen Kolar trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Regression Shrinkage and Selection via the Lasso
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Estimating time-varying networks (2008) — 321 citations
- Uniform Inference for High-dimensional Quantile Regression: Linear Functionals and Regression Rank Scores (2017) — 28 citations
- Distributed Multi-Task Learning (2015) — 79 citations
- A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression (2014) — 47 citations
- Efficient Distributed Learning with Sparsity (2016) — 178 citations
- Distributed Multi-Task Learning with Shared Representation (2016) — 23 citations
- Learning structured densities via infinite dimensional exponential families (2015) — 26 citations
- Feature Selection in High-Dimensional Classification (2013) — 23 citations
- Union Support Recovery in Multi-task Learning (2010) — 60 citations
- Time-Varying Dynamic Bayesian Networks (2009) — 219 citations