conftrace_
← Machine Learning
Machine Learning ›

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

1
52
337
806
3400
3289
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Efficient inference in matrix-variate Gaussian models with \iid observation noise NIPS 2011
Confidence Sets for Network Structure NIPS 2011
Structural equations and divisive normalization for energy-dependent component analysis NIPS 2011
Gaussian Process Training with Input Noise NIPS 2011
On the Universality of Online Mirror Descent NIPS 2011
Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning NIPS 2011
Speedy Q-Learning NIPS 2011
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity NIPS 2011
Greedy Model Averaging NIPS 2011
Generalized Beta Mixtures of Gaussians NIPS 2011
Variational Gaussian Process Dynamical Systems NIPS 2011
Statistical Tests for Optimization Efficiency NIPS 2011
Statistical Performance of Convex Tensor Decomposition NIPS 2011
Better Mini-Batch Algorithms via Accelerated Gradient Methods NIPS 2011
Algorithms and hardness results for parallel large margin learning NIPS 2011
Thinning Measurement Models and Questionnaire Design NIPS 2011
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials NIPS 2011
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC NIPS 2011
Shaping Level Sets with Submodular Functions NIPS 2011
Probabilistic amplitude and frequency demodulation NIPS 2011
Multi-Bandit Best Arm Identification NIPS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011
Iterative Learning for Reliable Crowdsourcing Systems NIPS 2011
Minimax Localization of Structural Information in Large Noisy Matrices NIPS 2011
Crowdclustering NIPS 2011