Alon Orlitsky
Artificial Intelligence · 2014–2017
A researcher in the Science corpus: 7 papers; trusts 26 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Statistics and Probability — 25 citations into it
- Computational Theory and Mathematics — 9 citations into it
- Statistical Learning Theory — 6 citations into it; #740 of 1,038 by trust here, #602 by citations
- Evaluation & Benchmarks — 5 citations into it; #2,642 of 3,147 by trust here, #2,938 by citations
Whom Alon Orlitsky trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexandre B. Tsybakov
- David L. Donoho
- Gregory Valiant
- Liam Paninski
- Iain M. Johnstone
- Felix Abramovich
- Jiantao Jiao
- Paul Valiant
- James L. Massey
- Irving John Good
Who trusts Alon Orlitsky overall
- Gregory Valiant
- Mingda Qiao
- Jiantao Jiao
- Akash Kumar Mohankumar
- Min Ye
- Jayadev Acharya
- Wenbo Ren
- Yichong Xu
- Quentin Berthet
- Yanjun Han
Papers from Alon Orlitsky's perspective
Ordered by how strongly the researchers Alon Orlitsky trusts endorse each paper. Same corpus, a different order for every researcher.
- Information Theory: 1948-1998 - Guest Editorial
- Introduction to Nonparametric Estimation
- Minimax Estimation of Functionals of Discrete Distributions
- Estimating entropy on m bins given fewer than m samples
- Ideal spatial adaptation by wavelet shrinkage
- Adapting to unknown sparsity by controlling the false discovery rate
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- An Empirical Study of Smoothing Techniques for Language Modeling
- Strong Lower Bounds for Approximating Distribution Support Size and the Distinct Elements Problem
- Estimation of Entropy and Mutual Information
Their papers
- Maximum Selection and Ranking under Noisy Comparisons (2017) — 56 citations
- Maxing and Ranking with Few Assumptions (2017) — 46 citations
- A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions (2017) — 64 citations
- On Learning Distributions from their Samples (2015) — 140 citations
- Competitive Distribution Estimation: Why is Good-Turing Good (2015) — 97 citations
- Universal compression of power-law distributions (2015) — 5 citations
- Estimating Renyi Entropy of Discrete Distributions (2014) — 84 citations