Indraneel Mukherjee

Optimization & Training · 2013

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 8 citations into it
• Artificial Intelligence — 6 citations into it; #18,884 of 35,345 by trust here, #27,551 by citations
• Computational Mechanics — 5 citations into it; #5,074 of 10,001 by trust here, #7,173 by citations

Whom Indraneel Mukherjee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yurii E. Nesterov
2. Paul Tseng
3. John C. Duchi
4. Michael Collins
5. Yoram Singer
6. Sangwoon Yun
7. Robert E. Schapire
8. Elad Hazan

Who trusts Indraneel Mukherjee overall

1. Peter Richtárik
2. Olivier Fercoq
3. Zheng Qu
4. Albert S. Berahas
5. Richard H. Byrd
6. Haipeng Luo
7. Martin Takác
8. Raghu Bollapragada
9. Jorge Nocedal
10. Patrick Haffner

Papers from Indraneel Mukherjee's perspective

Ordered by how strongly the researchers Indraneel Mukherjee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
2. Primal-dual subgradient methods for convex problems
3. A coordinate gradient descent method for nonsmooth separable minimization
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Logistic Regression, AdaBoost and Bregman Distances (Machine-mediated learning)
7. Gradient-based learning applied to document recognition
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Term-Weighting Approaches in Automatic Text Retrieval
10. Adaptive Bound Optimization for Online Convex Optimization

Their papers

• Parallel Boosting with Momentum (2013) — 35 citations