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Optimization

14,983 papers

Papers per year

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Papers

Sparse Variational Inference: Bayesian Coresets from Scratch NIPS 2019
Backpropagation-Friendly Eigendecomposition NIPS 2019
Coresets for Archetypal Analysis NIPS 2019
List-decodable Linear Regression NIPS 2019
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle NIPS 2019
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models NIPS 2019
On Single Source Robustness in Deep Fusion Models NIPS 2019
GENO -- GENeric Optimization for Classical Machine Learning NIPS 2019
Reinforcement Learning with Convex Constraints NIPS 2019
Accurate, reliable and fast robustness evaluation NIPS 2019
UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization NIPS 2019
From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization NIPS 2019
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences NIPS 2019
SySCD: A System-Aware Parallel Coordinate Descent Algorithm NIPS 2019
Memory Efficient Adaptive Optimization NIPS 2019
Limiting Extrapolation in Linear Approximate Value Iteration NIPS 2019
Regularized Weighted Low Rank Approximation NIPS 2019
Connections Between Mirror Descent, Thompson Sampling and the Information Ratio NIPS 2019
Maximum Mean Discrepancy Gradient Flow NIPS 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks NIPS 2019
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NIPS 2019
Block Coordinate Regularization by Denoising NIPS 2019
Neural Temporal-Difference Learning Converges to Global Optima NIPS 2019
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NIPS 2019
A Condition Number for Joint Optimization of Cycle-Consistent Networks NIPS 2019