Dávid Pál

Artificial Intelligence · 2008–2014

A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 67 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #15,609 of 35,345 by trust here, #16,471 by citations
• Management Science and Operations Research — 14 citations into it
• Representation & Self-Supervised Learning — 7 citations into it; #2,237 of 3,145 by trust here, #1,843 by citations
• Statistics and Probability — 7 citations into it
• Computer Networks and Communications — 6 citations into it
• Reinforcement Learning — 5 citations into it; #391 of 2,242 by trust here, #778 by citations

Whom Dávid Pál trusts overall

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

1. Oldrich A. Vasicek
2. David W. Scott
3. Peter Auer
4. Nikolai N. Leonenko
5. Luc Devroye
6. Eric Learned-Miller
7. Victor H. de la Peña
8. Hanchuan Peng
9. A. Hero
10. Katerina Hlaváčková-Schindler

Who trusts Dávid Pál overall

1. Barnab'as P'oczos
2. Daniel Russo
3. Shrikanth S. Narayanan
4. Henry Lam
5. Kamyar Azizzadenesheli
6. Hamsa Bastani
7. R´emi Munos
8. Benjamin Van Roy
9. Jeff Schneider
10. Weitong Zhang

Papers from Dávid Pál's perspective

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

1. Information Theory: 1948-1998 - Guest Editorial
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Some aspects of the sequential design of experiments
6. Learning Multiple Layers of Features from Tiny Images
7. Asymptotically efficient adaptive allocation rules
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Asymptotically Efficient Adaptive Allocation Rules
10. ImageNet: A large-scale hierarchical image database

Their papers

• Estimation of Renyi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs (2010) — 171 citations
• Partial Monitoring - Classification, Regret Bounds, and Algorithms (2014) — 183 citations
• Improved Algorithms for Linear Stochastic Bandits (2011) — 2,065 citations
• Impossibility Theorems for Domain Adaptation (2010) — 320 citations
• Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning (2008) — 154 citations