David B. Shmoys
Computational Theory and Mathematics · 1991–2016
A researcher in the Science corpus: 8 papers; trusts 42 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 20 citations into it; #2,384 of 12,182 by trust here, #4,199 by citations
- Marketing — 18 citations into it; #3,101 of 6,289 by trust here, #4,531 by citations
- Management Information Systems — 16 citations into it; #1,620 of 3,376 by trust here, #2,091 by citations
- Computer Networks and Communications — 12 citations into it; #2,238 of 9,886 by trust here, #6,498 by citations
- Organizational Behavior and Human Resource Management — 10 citations into it; #4,164 of 8,741 by trust here, #6,799 by citations
- Economics and Econometrics — 9 citations into it
- Industrial and Manufacturing Engineering — 8 citations into it; #887 of 2,521 by trust here, #1,691 by citations
- Algorithms & Complexity — 7 citations into it
Whom David B. Shmoys trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sanjeev Arora
- Madhukar R. Korupolu
- J. Håstad
- Robert Endre Tarjan
- Kamal Kumar Jain
- Kenneth Train
- Uriel Feige
- Daniel McFadden
- Prabhakar Raghavan
- Florian Heiss
Who trusts David B. Shmoys overall
- Shi Li
- Kamal Kumar Jain
- Sariel Har-Peled
- Elad Hazan
- Harald Räcke
- Sanjeev Arora
- Cynthia Rudin
- Rama Cont
- Vivek F. Farias
- Vijay Arya
Papers from David B. Shmoys's perspective
Ordered by how strongly the researchers David B. Shmoys 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)
- 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Information Theory: 1948-1998 - Guest Editorial
Their papers
- The Design of Approximation Algorithms (2011) — 1,358 citations
- Improved Approximation Algorithms for the Uncapacitated Facility Location Problem (2003) — 328 citations
- Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint (2010) — 487 citations
- In Pursuit of the Traveling Salesman: Mathematics at the Limits of Computation (2016) — 251 citations
- Assortment Optimization under the Multinomial Logit Model with Random Choice Parameters (2014) — 295 citations
- A constant-factor approximation algorithm for the k-median problem (extended abstract) (1999)
- Approximation algorithms for facility location problems (extended abstract) (1997)
- Fast approximation algorithms for fractional packing and covering problems (1991)