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Optimization

14,207 papers

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Papers

Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls NIPS 2017
Ranking Data with Continuous Labels through Oriented Recursive Partitions NIPS 2017
Scalable Log Determinants for Gaussian Process Kernel Learning NIPS 2017
Scalable Planning with Tensorflow for Hybrid Nonlinear Domains NIPS 2017
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search NIPS 2017
Optimized Pre-Processing for Discrimination Prevention NIPS 2017
On Blackbox Backpropagation and Jacobian Sensing NIPS 2017
Translation Synchronization via Truncated Least Squares NIPS 2017
Limitations on Variance-Reduction and Acceleration Schemes for Finite Sums Optimization NIPS 2017
Recursive Sampling for the Nystrom Method NIPS 2017
On the Optimization Landscape of Tensor Decompositions NIPS 2017
Efficient Online Linear Optimization with Approximation Algorithms NIPS 2017
Geometric Descent Method for Convex Composite Minimization NIPS 2017
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization NIPS 2017
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NIPS 2017
Multiscale Quantization for Fast Similarity Search NIPS 2017
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NIPS 2017
Diving into the shallows: a computational perspective on large-scale shallow learning NIPS 2017
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly NIPS 2017
Linear regression without correspondence NIPS 2017
A New Alternating Direction Method for Linear Programming NIPS 2017
Adversarial Surrogate Losses for Ordinal Regression NIPS 2017
Online to Offline Conversions, Universality and Adaptive Minibatch Sizes NIPS 2017
Influence Maximization with $\varepsilon$-Almost Submodular Threshold Functions NIPS 2017
Improved Dynamic Regret for Non-degenerate Functions NIPS 2017