Some Recent Talks

• Optimization view of Boosting (Shows relation between optimization and boosting).
  The first part of the talk given by Manfred Warmuth can be found here.
• A Quasi-Newton Approach to Regularized Risk Minimization (BFGS algorithm for regularized risk minimization).
• Graph kernels (Computing kernels on graphs efficiently).
• New Quasi-Newton Methods for Efficient Large-Scale Machine Learning (BFGS algorithm extended to a number of non-smooth settings).
• Exponential Families for Inference (Shows how Exponential families can be used to view many kernel algorithms in a unified fashion)
• String Kernels (Fast algorithms for string and tree kernels)
• SimpleSVM (A fast algorithm for training SVM's)
• Dynamical Systems (Shows how some dynamical systems, dynamic textures and RKHS are related)
• Hilbert space embeddings (Shows how some dynamical systems can be embedded into Hilbert spaces)