Arnak S. Dalalyan
Statistics and Probability · 2005–2017
A researcher in the Science corpus: 11 papers; trusts 100 researchers and is trusted by 54 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 121 citations into it; #735 of 12,932 by trust here, #1,860 by citations
- Artificial Intelligence — 48 citations into it; #3,666 of 35,345 by trust here, #12,387 by citations
- Computational Mechanics — 31 citations into it
- Statistical Learning Theory — 20 citations into it; #520 of 1,038 by trust here, #836 by citations
- Finance — 18 citations into it; #4,453 of 10,518 by trust here, #6,960 by citations
- Mathematical Physics — 17 citations into it; #8,474 of 8,562 by trust here, #6,594 by citations
- Applied Mathematics — 11 citations into it
- Management Science and Operations Research — 11 citations into it; #2,922 of 11,946 by trust here, #6,888 by citations
Whom Arnak S. Dalalyan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexandre B. Tsybakov
- Peter C. Kiessler
- Laurent Cavalier
- Gareth O. Roberts
- Yacine Aït-Sahalia
- Jianqing Fan
- Vladimir Koltchinskii
- S. Jarner
- Florentina Bunea
- Vladimir Spokoiny
Who trusts Arnak S. Dalalyan overall
- Alain Oliviero Durmus
- Richard Nickl
- Markus Reiß
- Andreas Eberle
- Christopher Nemeth
- Percy Liang
- Aymeric Dieuleveut
- Pierre Alquier
- Yuchen Zhang
- Jing Lei
Papers from Arnak S. Dalalyan's perspective
Ordered by how strongly the researchers Arnak S. Dalalyan 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Theoretical guarantees for approximate sampling from smooth and log‐concave densities (2014) — 600 citations
- Tight conditions for consistency of variable selection in the context of high dimensionality (2011) — 70 citations
- On the Prediction Performance of the Lasso (2014) — 179 citations
- Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity (2008) — 184 citations
- PENALIZED MAXIMUM LIKELIHOOD AND SEMIPARAMETRIC SECOND-ORDER EFFICIENCY (2006) — 52 citations
- User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient (2017) — 338 citations
- Sharp adaptive estimation of the drift function for ergodic diffusions (2005) — 68 citations
- Asymptotic statistical equivalence for ergodic diffusions: the multidimensional case (2005) — 81 citations
- Sharp Oracle Inequalities for Aggregation of Affine Estimators (2011) — 89 citations
- Minimax Testing of a Composite null Hypothesis Defined via a Quadratic Functional in the Model of regression (2012) — 55 citations
- Asymptotic statistical equivalence for scalar ergodic diffusions (2006) — 52 citations