Applications

Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection NeurIPS 2009 Exponential Family Graph Matching and Ranking NeurIPS 2009 Improving Existing Fault Recovery Policies NeurIPS 2009 Java-ML: A Machine Learning Library JMLR 2009 Lattice Regression NeurIPS 2009 Learning to Hash with Binary Reconstructive Embeddings NeurIPS 2009 Learning to Rank by Optimizing NDCG Measure NeurIPS 2009 Locality-sensitive binary codes from shift-invariant kernels NeurIPS 2009 Localizing Bugs in Program Executions with Graphical Models NeurIPS 2009 Modeling Social Annotation Data with Content Relevance using a Topic Model NeurIPS 2009 Polynomial Semantic Indexing NeurIPS 2009 Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions NeurIPS 2009 Ranking Measures and Loss Functions in Learning to Rank NeurIPS 2009 RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments JMLR 2009 Statistical Consistency of Top-k Ranking NeurIPS 2009 Tracking Dynamic Sources of Malicious Activity at Internet Scale NeurIPS 2009 Breaking Audio CAPTCHAs NeurIPS 2008 Empirical performance maximization for linear rank statistics NeurIPS 2008 Estimating Robust Query Models with Convex Optimization NeurIPS 2008 Non-parametric Regression Between Manifolds NeurIPS 2008 Online Metric Learning and Fast Similarity Search NeurIPS 2008 Predictive Indexing for Fast Search NeurIPS 2008 Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking NeurIPS 2008 Tighter Bounds for Structured Estimation NeurIPS 2008 A General Boosting Method and its Application to Learning Ranking Functions for Web Search NeurIPS 2007