Jose H. Blanchet
Management Science and Operations Research · 2008–2019
A researcher in the Science corpus: 7 papers; trusts 46 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 43 citations into it; #2,903 of 11,946 by trust here, #4,118 by citations
- Statistics and Probability — 32 citations into it; #4,487 of 12,932 by trust here, #4,650 by citations
- Optimization & Training — 21 citations into it
- Artificial Intelligence — 18 citations into it
- Economics and Econometrics — 17 citations into it
- Computational Mechanics — 16 citations into it
- Finance — 16 citations into it
- Management Information Systems — 11 citations into it; #2,166 of 3,376 by trust here, #3,232 by citations
Whom Jose H. Blanchet trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cédric Villani
- Søren Asmussen
- Yurii E. Nesterov
- Paul Glasserman
- Jorge Nocedal
- Peyman Mohajerin Esfahani
- Huan Xu
- Robert Tibshirani
- Trevor J. Hastie
- Henry Lam
Who trusts Jose H. Blanchet overall
- John C. Duchi
- Aman Sinha
- Hongseok Namkoong
- Sourav Chatterjee
- Elvis Dohmatob
- D. Kühn
- Soroosh Shafieezadeh-Abadeh
- Hamed Rahimian
- Persi Diaconis
- Sen Lin
Papers from Jose H. Blanchet's perspective
Ordered by how strongly the researchers Jose H. Blanchet trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Regression Shrinkage and Selection via the Lasso
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Robust Wasserstein profile inference and applications to machine learning (2016) — 385 citations
- Data-Driven Optimal Transport Cost Selection For Distributionally Robust Optimization (2017) — 47 citations
- Efficient rare-event simulation for the maximum of heavy-tailed random walks (2008) — 100 citations
- State-dependent importance sampling for regularly varying random walks (2008) — 65 citations
- Convergence Rate Analysis of a Stochastic Trust-Region Method via Supermartingales (2019) — 143 citations
- Quantifying Distributional Model Risk via Optimal Transport (2016) — 516 citations
- A markov chain approximation to choice modeling (2013) — 315 citations