← Optimization & Theory
Machine Learning › Optimization & Theory ›

Theory

4950 directly classified papers

Papers per year

Papers

On the Equivalence of Linear Dimensionality-Reducing Transformations JMLR 2008
Measures of Clustering Quality: A Working Set of Axioms for Clustering NIPS 2008
Theory of matching pursuit NIPS 2008
On the Reliability of Clustering Stability in the Large Sample Regime NIPS 2008
Manifold Learning: The Price of Normalization JMLR 2008
Approximation Schemes for Two-Player Pursuit Evasion Games with Visibility Constraints RSS 2008
On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NIPS 2008
Improved Moves for Truncated Convex Models NIPS 2008
Diffeomorphic Dimensionality Reduction NIPS 2008
On Bootstrapping the ROC Curve NIPS 2008
Spectral Clustering with Perturbed Data NIPS 2008
Clusters and Coarse Partitions in LP Relaxations NIPS 2008
Kernel Measures of Independence for non-iid Data NIPS 2008
Multi-stage Convex Relaxation for Learning with Sparse Regularization NIPS 2008
High-dimensional support union recovery in multivariate regression NIPS 2008
Performance analysis for L\_2 kernel classification NIPS 2008
A Bahadur Representation of the Linear Support Vector Machine JMLR 2008
Rademacher Complexity Bounds for Non-I.I.D. Processes NIPS 2008
Learning with Consistency between Inductive Functions and Kernels NIPS 2008
A general framework for investigating how far the decoding process in the brain can be simplified NIPS 2008
Value Function Based Reinforcement Learning in Changing Markovian Environments JMLR 2008
Stability Bounds for Non-i.i.d. Processes NIPS 2007
Sequential Hypothesis Testing under Stochastic Deadlines NIPS 2007
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity NIPS 2007
Testing for Homogeneity with Kernel Fisher Discriminant Analysis NIPS 2007