NIPS Proceedingsβ

Yoram Singer

29 Papers

  • Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity (2016)
  • Efficient Learning using Forward-Backward Splitting (2009)
  • Group Sparse Coding (2009)
  • Convex Repeated Games and Fenchel Duality (2006)
  • Image Retrieval and Classification Using Local Distance Functions (2006)
  • Online Classification for Complex Problems Using Simultaneous Projections (2006)
  • Support Vector Machines on a Budget (2006)
  • Data-Driven Online to Batch Conversions (2005)
  • The Forgetron: A Kernel-Based Perceptron on a Fixed Budget (2005)
  • A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities (2004)
  • The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees (2004)
  • Log-Linear Models for Label Ranking (2003)
  • Online Classification on a Budget (2003)
  • Online Passive-Aggressive Algorithms (2003)
  • Discriminative Binaural Sound Localization (2002)
  • Kernel Design Using Boosting (2002)
  • Multiclass Learning by Probabilistic Embeddings (2002)
  • Spikernels: Embedding Spiking Neurons in Inner-Product Spaces (2002)
  • Pranking with Ranking (2001)
  • Improved Output Coding for Classification Using Continuous Relaxation (2000)
  • Leveraged Vector Machines (1999)
  • Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy (1998)
  • Efficient Bayesian Parameter Estimation in Large Discrete Domains (1998)
  • Learning to Order Things (1997)
  • Shared Context Probabilistic Transducers (1997)
  • Training Algorithms for Hidden Markov Models using Entropy Based Distance Functions (1996)
  • Adaptive Mixture of Probabilistic Transducers (1995)
  • Decoding Cursive Scripts (1993)
  • The Power of Amnesia (1993)
  • 1 Book

  • Advances in Neural Information Processing Systems 20 (2007)