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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)

Distributed Submodular Cover: Succinctly Summarizing Massive Data NIPS 2015
Robust PCA with compressed data NIPS 2015
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models NIPS 2015
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing NIPS 2015
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care NIPS 2015
Bounding errors of Expectation-Propagation NIPS 2015
On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors NIPS 2015
Convergence Rates of Active Learning for Maximum Likelihood Estimation NIPS 2015
Distributionally Robust Logistic Regression NIPS 2015
Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing NIPS 2015
Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring NIPS 2015
Smooth and Strong: MAP Inference with Linear Convergence NIPS 2015
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors NIPS 2015
Convolutional spike-triggered covariance analysis for neural subunit models NIPS 2015
Recovering Communities in the General Stochastic Block Model Without Knowing the Parameters NIPS 2015
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants NIPS 2015
Optimal Rates for Random Fourier Features NIPS 2015
Deep learning with Elastic Averaging SGD NIPS 2015
Online F-Measure Optimization NIPS 2015
Column Selection via Adaptive Sampling NIPS 2015
Deep Poisson Factor Modeling NIPS 2015
Max-Margin Majority Voting for Learning from Crowds NIPS 2015
Competitive Distribution Estimation: Why is Good-Turing Good NIPS 2015
Spectral Learning of Large Structured HMMs for Comparative Epigenomics NIPS 2015
Deeply Learning the Messages in Message Passing Inference NIPS 2015