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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)

Submodularity Cuts and Applications NIPS 2009
Bayesian Sparse Factor Models and DAGs Inference and Comparison NIPS 2009
A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds NIPS 2009
Data-driven calibration of linear estimators with minimal penalties NIPS 2009
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NIPS 2009
Ensemble Nystrom Method NIPS 2009
Manifold Regularization for SIR with Rate Root-n Convergence NIPS 2009
STDP enables spiking neurons to detect hidden causes of their inputs NIPS 2009
Locality-sensitive binary codes from shift-invariant kernels NIPS 2009
Time-Varying Dynamic Bayesian Networks NIPS 2009
Fast Learning from Non-i.i.d. Observations NIPS 2009
Matrix Completion from Noisy Entries NIPS 2009
A Generalized Natural Actor-Critic Algorithm NIPS 2009
Efficient Moments-based Permutation Tests NIPS 2009
Maximum likelihood trajectories for continuous-time Markov chains NIPS 2009
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness NIPS 2009
Sufficient Conditions for Agnostic Active Learnable NIPS 2009
Learning to Rank by Optimizing NDCG Measure NIPS 2009
Slow Learners are Fast NIPS 2009
Tracking Dynamic Sources of Malicious Activity at Internet Scale NIPS 2009
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation NIPS 2009
Learning in Markov Random Fields using Tempered Transitions NIPS 2009
Statistical Consistency of Top-k Ranking NIPS 2009
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing NIPS 2009
A joint maximum-entropy model for binary neural population patterns and continuous signals NIPS 2009