Pál, Dávid
- Coin Betting and Parameter-Free Online Learning
2016/02/12 by Francesco Orabona, Dávid Pál, Orabona, Francesco +1 · 18 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Optimization and Search Problems
- Scale-Free Online Learning
2016/01/08 by Orabona, Francesco, Pál, Dávid · 8 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Estimation of R 'enyi Entropy and Mutual Information Based on\n Generalized Nearest-Neighbor Graphs
2010/03/09 by Dávid Pál, Barnabás Póczos, Pál, Dávid +3 · 8 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #Blind Source Separation Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (stat.ML) #Statistical Methods and Inference
- Parameter-free Stochastic Optimization of Variationally Coherent Functions
2021/01/30 by Francesco Orabona, Dávid Pál, Orabona, Francesco +1 · 8 citations
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Toward a Classification of Finite Partial-Monitoring Games
2011/02/10 by András Antos, Gábor Bartók, Antos, András +5 · 1 citation
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- The information-theoretic value of unlabeled data in semi-supervised learning
2019/01/16 by Alexander Golovnev, Golovnev, Alexander, Dávid Pál +3 · 1 citation
Computer Science · #Algorithms and Data Compression #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification