Patrick Jaillet
Artificial Intelligence · 2004–2020
A researcher in the Science corpus: 5 papers; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it
- Probabilistic & Bayesian Methods — 10 citations into it
- Statistics and Probability — 10 citations into it
- Computational Theory and Mathematics — 6 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Reinforcement Learning — 6 citations into it
Whom Patrick Jaillet trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Radford M. Neal
- Dimitris J. Bertsimas
- Leo Breiman
- Sebastian Schelter
- Martin L. Puterman
- Yinzhi Cao
- Jonathan E. Taylor
- David M. Blei
- Trevor J. Hastie
Who trusts Patrick Jaillet overall
Papers from Patrick Jaillet's perspective
Ordered by how strongly the researchers Patrick Jaillet 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)
- The Elements of Statistical Learning
- Learning Multiple Layers of Features from Tiny Images
- Pattern Recognition and Machine Learning
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Random Forests
Their papers
- Variational Bayesian Unlearning (2020) — 191 citations
- Valuation of Commodity-Based Swing Options (2004) — 320 citations
- The Price of Interpretability (2019) — 39 citations
- Regret based Robust Solutions for Uncertain Markov Decision Processes (2013) — 21 citations
- Real-Time Multivehicle Truckload Pickup and Delivery Problems (2004) — 319 citations