NIPS Oral Sessionのリスト

機械学習

参考までにOral Sessionの他の論文のリストも挙げておきます(Oral SessionではInvited talkとかもあるけどそれは除外)、accepted paperが300本近くあるなかでOral Sessionは20本しかなく非常に競争率が高いです。

  • Over-complete representations on recurrent neural networks can support persistent percepts
  • A rational decision making framework for inhibitory control
  • A Theory of Multiclass Boosting
  • Online Learning: Random Averages, Combinatorial Parameters, and Learnability
  • Fast global convergence rates of gradient methods for high-dimensional statistical recovery
  • Structured sparsity-inducing norms through submodular functions
  • Semi-Supervised Learning with Adversarially Missing Label Information
  • MAP estimation in Binary MRFs via Bipartite Multi-cuts
  • A Dirty Model for Multi-task Learning
  • Linear Complementarity for Regularized Policy Evaluation and Improvement
  • The Multidimensional Wisdom of Crowds (今回紹介したやつ)
  • Construction of Dependent Dirichlet Processes based on Poisson Processes
  • Slice sampling covariance hyperparameters of latent Gaussian models
  • Tree-Structured Stick Breaking for Hierarchical Data
  • Identifying graph-structured activation patterns in networks
  • Phoneme Recognition with Large Hierarchical Reservoirs
  • Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch
  • On the Convexity of Latent Social Network Inference
  • Learning to combine foveal glimpses with a third-order Boltzmann machine
  • Humans Learn Using Manifolds, Reluctantly