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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Tighter Bounds for Structured Estimation NIPS 2008
Multi-Agent Filtering with Infinitely Nested Beliefs NIPS 2008
Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification NIPS 2008
Nonparametric regression and classification with joint sparsity constraints NIPS 2008
Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons NIPS 2008
High-dimensional support union recovery in multivariate regression NIPS 2008
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NIPS 2008
A Convex Upper Bound on the Log-Partition Function for Binary Distributions NIPS 2008
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NIPS 2008
Theory of matching pursuit NIPS 2008
Mortal Multi-Armed Bandits NIPS 2008
Adapting to a Market Shock: Optimal Sequential Market-Making NIPS 2008
Rademacher Complexity Bounds for Non-I.I.D. Processes NIPS 2008
Empirical performance maximization for linear rank statistics NIPS 2008
Resolution Limits of Sparse Coding in High Dimensions NIPS 2008
Efficient Exact Inference in Planar Ising Models NIPS 2008
Deflation Methods for Sparse PCA NIPS 2008
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NIPS 2008
Learning with Consistency between Inductive Functions and Kernels NIPS 2008
Syntactic Topic Models NIPS 2008
A general framework for investigating how far the decoding process in the brain can be simplified NIPS 2008
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NIPS 2008
Bayesian Kernel Shaping for Learning Control NIPS 2008
An Extended Level Method for Efficient Multiple Kernel Learning NIPS 2008
Sparse Online Learning via Truncated Gradient NIPS 2008