Manfred K. Warmuth

1. TriMap: Large-scale Dimensionality Reduction Using Triplets
   2019/10/01 by Ehsan Amid, Amid, Ehsan, Manfred K. Warmuth +1 · 10 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
2. Unbiased estimators for random design regression
   2019/07/08 by Michał Dereziński, Dereziński, Michał, Manfred K. Warmuth +3 · 2 citations
   Computer Science · Environmental Science · #Bayesian Methods and Mixture Models #Computational Geometry and Mesh Generation #Soil Geostatistics and Mapping
3. Adaptive scale-invariant online algorithms for learning linear models
   2019/02/20 by Michał Kempka, Kempka, Michał, Wojciech Kotłowski +3 · 3 citations
   Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Data Stream Mining Techniques
4. Online Dynamic Programming
   2017/06/02 by Holakou Rahmanian, Rahmanian, Holakou, Manfred K. Warmuth +2 · 1 citation
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Optimization and Search Problems
5. Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression
   2019/02/04 by Michał Dereziński, Kenneth L. Clarkson, Dereziński, Michał +5 · 1 citation
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
6. Learning from Randomly Initialized Neural Network Features
   2022/02/13 by Ehsan Amid, Amid, Ehsan, Rohan Anil +5 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural Networks and Applications