Four papers at NIPS 2015

Published on September 16, 2015

The MLRG has the following four papers appearing at NIPS 2015:

[1] Learning with Symmetric Label Noise: The Importance of Being Unhinged (B. van Rooyen, A. Menon and R.C. Williamson)
[2] Convergence Analysis of Prediction Markets via Randomized Subspace Descent (R. Frongillo and M. Reid)
[3] Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets (J. Domke)
[4] Reflection, Refraction, and Hamiltonian Monte Carlo (H.M. Afshar and J. Domke)