schraudolph.org
Nic Schraudolphs's Publications by Topic
http://www.schraudolph.org/bib2html/class_rescat.html
Download the DjVu plug-in:. X2022; Ising Models. X2022; Gradient Descent. X2022; Quasi-Newton Methods. X2022; Stochastic Meta-Descent. X2022; Kernel Methods. X2022; Reinforcement Learning. X2022; Unsupervised Learning. X2022; Entropy Optimization. X2022; Competitive Learning. X2022; Evolutionary Algorithms. X2022; Computer Vision. Polynomial-Time Exact Inference in NP-Hard Binary MRFs via Reweighted Perfect Matching. Intl Conf. Artificial Intelligence and Statistics (AIstats). Chia Laguna, Italy, 2010.
alex.smola.org
People
http://alex.smola.org/people.html
Research Scientist, Autonomous Systems Laboratory, CSIRO Sydney. Research Scientist, Max-Planck Institute for Biological Cybernetics, Tübingen. Research Scientist, Department of Mathematics, Australian National University Canberra. PhD Student, Australian National University. Postdoctoral Research Associate, Computational and Biological Learning Lab, University of Cambridge. Lane Fellow, Department of Computer Science, Carnegie Mellon University. PhD Student, Universität Dortmund. Team Members and Alumni.