Aleksandar Nikolov
Artificial Intelligence · 2011–2020
A researcher in the Science corpus: 8 papers; trusts 55 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 152 citations into it; #4,990 of 35,345 by trust here, #8,619 by citations
- Privacy & Security — 94 citations into it; #251 of 709 by trust here, #380 by citations
- Computational Theory and Mathematics — 48 citations into it; #988 of 12,182 by trust here, #1,184 by citations
- Statistics and Probability — 27 citations into it
- Computer Science Applications — 15 citations into it
- Sociology and Political Science — 14 citations into it
- Safety, Robustness & Interpretability — 13 citations into it
- Statistical Learning Theory — 12 citations into it
Whom Aleksandar Nikolov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Moritz Hardt
- Aaron Roth
- Kobbi Nissim
- Anupam Gupta
- Shiva Prasad Kasiviswanathan
- Jonathan Ullman
- Frank McSherry
- Stephen P. Boyd
- Kunal Talwar
Who trusts Aleksandar Nikolov overall
- Salil P. Vadhan
- Assimakis A. Kattis
- Cynthia Dwork
- Quan Geng
- Jonathan Ullman
- Adam D. Smith
- Mark Bun
- Thomas Steinke
- Abhradeep Thakurta
- Kunal Talwar
Papers from Aleksandar Nikolov's perspective
Ordered by how strongly the researchers Aleksandar Nikolov trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- ImageNet classification with deep convolutional neural networks
- Revealing information while preserving privacy
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Differential Privacy
Their papers
- The geometry of differential privacy: the sparse and approximate cases (2012) — 233 citations
- Optimal private halfspace counting via discrepancy (2012) — 89 citations
- The Geometry of Differential Privacy: The Small Database and Approximate Cases (2016) — 32 citations
- Pan-private algorithms via statistics on sketches (2011) — 99 citations
- An Improved Private Mechanism for Small Databases (2015) — 12 citations
- Lower Bounds for Differential Privacy from Gaussian Width (2016) — 12 citations
- Private Query Release Assisted by Public Data (2020) — 53 citations
- The power of factorization mechanisms in local and central differential privacy (2019) — 76 citations