Masrour Zoghi
Artificial Intelligence · 2012–2018
A researcher in the Science corpus: 9 papers; trusts 76 researchers and is trusted by 44 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 104 citations into it; #6,164 of 35,345 by trust here, #8,439 by citations
- Management Science and Operations Research — 68 citations into it; #811 of 11,946 by trust here, #993 by citations
- Reinforcement Learning — 55 citations into it; #763 of 2,242 by trust here, #1,075 by citations
- Information Systems — 45 citations into it
- Information Retrieval & Search — 39 citations into it; #351 of 1,022 by trust here, #521 by citations
- Computational Theory and Mathematics — 25 citations into it; #3,533 of 12,182 by trust here, #2,761 by citations
- Computer Networks and Communications — 25 citations into it; #1,002 of 9,886 by trust here, #1,864 by citations
- Evaluation & Benchmarks — 20 citations into it; #2,963 of 3,147 by trust here, #2,704 by citations
Whom Masrour Zoghi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yisong Yue
- Thorsten Joachims
- Katja Hofmann
- Shimon Whiteson
- Olivier Chapelle
- Filip Radlinski
- Nando de Freitas
- Fan Guo
- Frank Hutter
- R´emi Munos
Who trusts Masrour Zoghi overall
- Aadirupa Saha
- Huasen Wu
- Chang Li
- Róbert Istvan Busa-Fekete
- Miroslav Dud'ik
- Akash Kumar Mohankumar
- Aldo Pacchiano
- Xin Liu
- Katja Hofmann
- Maarten de Rijke
Papers from Masrour Zoghi's perspective
Ordered by how strongly the researchers Masrour Zoghi 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations (2012) — 116 citations
- Contextual Dueling Bandits (2015) — 162 citations
- Relative confidence sampling for efficient on-line ranker evaluation (2014) — 67 citations
- MergeRUCB: A Method for Large-Scale Online Ranker Evaluation (2015) — 59 citations
- Bayesian Optimization in a Billion Dimensions via Random Embeddings (2013) — 551 citations
- Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem (2013) — 164 citations
- MergeDTS (2018) — 7 citations
- Copeland Dueling Bandits (2015) — 100 citations
- UvA-DARE (Digital Academic Repository) Bayesian Optimization in High Dimensions via Random Embeddings (2013)