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Optimization

14,969 papers

Papers per year

18
112
342
1289
1646
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Papers

Anytime Induction of Cost-sensitive Trees NIPS 2007
Efficient multiple hyperparameter learning for log-linear models NIPS 2007
A General Boosting Method and its Application to Learning Ranking Functions for Web Search NIPS 2007
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations NIPS 2007
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NIPS 2007
Cooled and Relaxed Survey Propagation for MRFs NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation NIPS 2007
A New View of Automatic Relevance Determination NIPS 2007
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NIPS 2007
Topmoumoute Online Natural Gradient Algorithm NIPS 2007
Learning Monotonic Transformations for Classification NIPS 2007
Online Linear Regression and Its Application to Model-Based Reinforcement Learning NIPS 2007
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NIPS 2007
A Randomized Algorithm for Large Scale Support Vector Learning NIPS 2007
Support Vector Machine Classification with Indefinite Kernels NIPS 2007
Learning with Transformation Invariant Kernels NIPS 2007
Efficient Convex Relaxation for Transductive Support Vector Machine NIPS 2007
Message Passing for Max-weight Independent Set NIPS 2007
Boosting the Area under the ROC Curve NIPS 2007
A Risk Minimization Principle for a Class of Parzen Estimators NIPS 2007
Discriminative Batch Mode Active Learning NIPS 2007
What makes some POMDP problems easy to approximate? NIPS 2007
Boosting Algorithms for Maximizing the Soft Margin NIPS 2007
Parallelizing Support Vector Machines on Distributed Computers NIPS 2007