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Optimization

14,983 papers

Papers per year

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Papers

A Universal Catalyst for First-Order Optimization NIPS 2015
Robust PCA with compressed data 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
Distributionally Robust Logistic Regression NIPS 2015
Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing NIPS 2015
Smooth and Strong: MAP Inference with Linear Convergence NIPS 2015
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors NIPS 2015
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants NIPS 2015
Online F-Measure Optimization NIPS 2015
Column Selection via Adaptive Sampling NIPS 2015
Deeply Learning the Messages in Message Passing Inference NIPS 2015
Collaboratively Learning Preferences from Ordinal Data NIPS 2015
Matrix Manifold Optimization for Gaussian Mixtures NIPS 2015
Adaptive Stochastic Optimization: From Sets to Paths NIPS 2015
A Universal Primal-Dual Convex Optimization Framework NIPS 2015
Structured Estimation with Atomic Norms: General Bounds and Applications NIPS 2015
Exactness of Approximate MAP Inference in Continuous MRFs NIPS 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks NIPS 2015
Path-SGD: Path-Normalized Optimization in Deep Neural Networks NIPS 2015
Variance Reduced Stochastic Gradient Descent with Neighbors NIPS 2015
HONOR: Hybrid Optimization for NOn-convex Regularized problems NIPS 2015
Fast Randomized Kernel Ridge Regression with Statistical Guarantees NIPS 2015
Collaborative Filtering with Graph Information: Consistency and Scalable Methods NIPS 2015
Discrete Rényi Classifiers NIPS 2015