• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 58 matches

• 2005
• 
  Matthias Hein, Olivier Bousquet:
  Hilbertian Metrics and Positive Definite Kernels on Probability Measures. AISTATS 2005: 136-143
• 
  Shivani Agarwal, Sariel Har-Peled, Dan Roth:
  A Uniform Convergence Bound for the Area Under the ROC Curve. AISTATS 2005: 1-8
• 
  Bo Wang, D. M. Titterington:
  Inadequacy of interval estimates corresponding to variational Bayesian approximations. AISTATS 2005: 373-380
• 
  Francis R. Bach, David Heckerman, Eric Horvitz:
  On the Path to an Ideal ROC Curve: Considering Cost Asymmetry in Learning Classifiers. AISTATS 2005: 9-16
• 
  Misha Belkin, Partha Niyogi, Vikas Sindhwani:
  On Manifold Regularization. AISTATS 2005: 17-24
• 
  John Blitzer, Amir Globerson, Fernando Pereira:
  Distributed Latent Variable Models of Lexical Co-occurrences. AISTATS 2005: 25-32
• 
  Miguel Á. Carreira-Perpiñán, Geoffrey E. Hinton:
  On Contrastive Divergence Learning. AISTATS 2005: 33-40
• 
  David Cavallini, Fabio Corradi:
  OOBN for Forensic Identification through Searching a DNA profiles' Database. AISTATS 2005: 41-48
• 
  Olivier Chapelle:
  Active Learning for Parzen Window Classifier. AISTATS 2005: 49-56
• 
  Olivier Chapelle, Alexander Zien:
  Semi-Supervised Classification by Low Density Separation. AISTATS 2005: 57-64
• 
  Timothée Cour, Nicolas Gogin, Jianbo Shi:
  Learning spectral graph segmentation. AISTATS 2005: 65-72
• 
  Philip J. Cowans, Martin Szummer:
  A Graphical Model for Simultaneous Partitioning and Labeling. AISTATS 2005: 73-80
• 
  Denver Dash:
  Restructuring Dynamic Causal Systems in Equilibrium. AISTATS 2005: 81-88
• 
  A. Philip Dawid:
  Probability and Statistics in the Law. AISTATS 2005: 89-95
• 
  Olivier Delalleau, Yoshua Bengio, Nicolas Le Roux:
  Efficient Non-Parametric Function Induction in Semi-Supervised Learning. AISTATS 2005: 96-103
• 
  Dan Geiger, Christopher Meek:
  Structured Variational Inference Procedures and their Realizations. AISTATS 2005: 104-111
• 
  Arthur Gretton, Alexander J. Smola, Olivier Bousquet, Ralf Herbrich, Andrei Belitski, Mark Augath, Yusuke Murayama, Jon Pauls, Bernhard Schölkopf, Nikos K. Logothetis:
  Kernel Constrained Covariance for Dependence Measurement. AISTATS 2005: 112-119
• 
  Jihun Ham, Daniel D. Lee, Lawrence K. Saul:
  Semisupervised alignment of manifolds. AISTATS 2005: 120-127
• 
  Geoffrey E. Hinton, Simon Osindero, Kejie Bao:
  Learning Causally Linked Markov Random Fields. AISTATS 2005: 128-135
• 
  Søren Højsgaard, Steffen L. Lauritzen:
  Restricted concentration models - graphical Gaussian models with concentration parameters restricted to being equal. AISTATS 2005: 152-157
• 
  Marcus Hutter:
  Fast Non-Parametric Bayesian Inference on Infinite Trees. AISTATS 2005: 144-151
• 
  Anitha Kannan, Nebojsa Jojic, Brendan J. Frey:
  Generative Model for Layers of Appearance and Deformation. AISTATS 2005: 166-173
• 
  Mike Klaas, Dustin Lang, Nando de Freitas:
  Fast maximum a-posteriori inference on Monte Carlo state spaces. AISTATS 2005: 158-165
• 
  Kevin H. Knuth:
  Toward Question-Asking Machines: The Logic of Questions and the Inquiry Calculus. AISTATS 2005: 174-180
• 
  Vladimir Kolmogorov:
  Convergent tree-reweighted message passing for energy minimization. AISTATS 2005: 182-189
• 
  Manabu Kuroki, Zhihong Cai:
  Instrumental variable tests for Directed Acyclic Graph Models. AISTATS 2005: 190-197
• 
  John Langford, Bianca Zadrozny:
  Estimating Class Membership Probabilities using Classifier Learners. AISTATS 2005: 198-205
• 
  Yann LeCun, Fu Jie Huang:
  Loss Functions for Discriminative Training of Energy-Based Models. AISTATS 2005: 206-213
• 
  Florian Markowetz, Steffen Grossmann, Rainer Spang:
  Probabilistic Soft Interventions in Conditional Gaussian Networks. AISTATS 2005: 214-221
• 
  Benjamin M. Marlin, Sam T. Roweis, Richard S. Zemel:
  Unsupervised Learning with Non-Ignorable Missing Data. AISTATS 2005: 222-229

skipping 28 more matches