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Optimization

14,983 papers

Papers per year

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Papers

Effective Dimensionality Reduction for Word Embeddings ACL 2019
Learning Word Embeddings without Context Vectors ACL 2019
PROMT Systems for WMT 2019 Shared Translation Task ACL 2019
Dual Monolingual Cross-Entropy Delta Filtering of Noisy Parallel Data ACL 2019
Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders ACML 2019
Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening ACML 2019
Canonical Soft Time Warping ACML 2019
Regularizing Neural Networks via Stochastic Branch Layers ACML 2019
Forward-Backward Generative Adversarial Networks for Anomaly Detection ACML 2019
Proximal Splitting Meets Variance Reduction AISTATS 2019
Efficient Linear Bandits through Matrix Sketching AISTATS 2019
Orthogonal Estimation of Wasserstein Distances AISTATS 2019
Greedy and IHT Algorithms for Non-convex Optimization with Monotone Costs of Non-zeros AISTATS 2019
Block Stability for MAP Inference AISTATS 2019
Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs AISTATS 2019
Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems AISTATS 2019
Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches AISTATS 2019
Pathwise Derivatives for Multivariate Distributions AISTATS 2019
Performance Metric Elicitation from Pairwise Classifier Comparisons AISTATS 2019
Robust Matrix Completion from Quantized Observations AISTATS 2019
An Optimal Algorithm for Stochastic Three-Composite Optimization AISTATS 2019
Distributionally Robust Submodular Maximization AISTATS 2019
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems AISTATS 2019
Optimal Testing in the Experiment-rich Regime AISTATS 2019
Robust Graph Embedding with Noisy Link Weights AISTATS 2019