Jelena Diakonikolas
Artificial Intelligence · with Cohen · 2018
A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #27,966 of 35,345 by trust here, #32,362 by citations
- Computational Mechanics — 14 citations into it; #7,935 of 10,001 by trust here, #8,947 by citations
- Optimization & Training — 11 citations into it
- Numerical Analysis — 8 citations into it
Whom Jelena Diakonikolas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Guanghui Lan
- Saeed Ghadimi
- Yves F. Atchadé
- Alexandre d'Aspremont
- Aharon Ben-Tal
- Mark W. Schmidt
- Olivier Devolder
- Gersende Fort
- Andre Wibisono
Who trusts Jelena Diakonikolas overall
Papers from Jelena Diakonikolas's perspective
Ordered by how strongly the researchers Jelena Diakonikolas trusts endorse each paper. Same corpus, a different order for every researcher.
- An optimal method for stochastic composite optimization
- A method for solving the convex programming problem with convergence rate O(1/k^2)
- Introductory Lectures on Convex Optimization - A Basic Course
- Smooth minimization of non-smooth functions
- Smooth Optimization with Approximate Gradient
- Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization, II: Shrinking Procedures and Optimal Algorithms
- Lectures on modern convex optimization - analysis, algorithms, and engineering applications
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- A Stochastic Approximation Method
Their papers
- On Acceleration with Noise-Corrupted Gradients (2018) — 90 citations