Anton J. Kleywegt
Management Science and Operations Research · 2002–2017
A researcher in the Science corpus: 8 papers; trusts 45 researchers and is trusted by 41 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 38 citations into it; #1,511 of 11,946 by trust here, #3,357 by citations
- Statistics and Probability — 27 citations into it
- Optimization & Training — 18 citations into it
- Control and Systems Engineering — 15 citations into it; #946 of 8,257 by trust here, #3,682 by citations
- Computer Vision and Pattern Recognition — 14 citations into it
- Artificial Intelligence — 13 citations into it
- Applied Mathematics — 9 citations into it
- Economics and Econometrics — 9 citations into it
Whom Anton J. Kleywegt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter W. Glynn
- Martin L. Puterman
- Paul Glasserman
- Cédric Villani
- Sean P. Meyn
- Arkadi Nemirovski
- Alex Krizhevsky
- Ian J. Goodfellow
- Alexander Shapiro
- Dimitris J. Bertsimas
Who trusts Anton J. Kleywegt overall
- Guanghui Lan
- Jiwei Li
- Alexander Shapiro
- Will Monroe
- Ivo Grondman
- Sergey Pankov
- Arkadi Nemirovski
- Saeed Ghadimi
- Dan Jurafsky
- Arnab Nilim
Papers from Anton J. Kleywegt's perspective
Ordered by how strongly the researchers Anton J. Kleywegt trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Dropout: a simple way to prevent neural networks from overfitting
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Wasserstein Distributional Robustness and Regularization in Statistical Learning (2017) — 129 citations
- Minimax analysis of stochastic problems (2002) — 298 citations
- Auction-Based Multi-Robot Routing (2005) — 336 citations
- Distributionally Robust Stochastic Optimization with Wasserstein Distance (2016) — 764 citations
- Stochastic Optimization (2003)
- The Sample Average Approximation Method Applied to Stochastic Routing Problems: A Computational Study (2003) — 517 citations
- The Stochastic Inventory Routing Problem with Direct Deliveries (2002) — 355 citations
- The Sample Average Approximation Method for Stochastic Discrete Optimization (2002) — 2,003 citations