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Optimization

14,983 papers

Papers per year

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Papers

Learning with SGD and Random Features NIPS 2018
Boolean Decision Rules via Column Generation NIPS 2018
Sparse PCA from Sparse Linear Regression NIPS 2018
Maximizing Induced Cardinality Under a Determinantal Point Process NIPS 2018
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes NIPS 2018
Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation NIPS 2018
Learning to Teach with Dynamic Loss Functions NIPS 2018
Bilevel Distance Metric Learning for Robust Image Recognition NIPS 2018
A Convex Duality Framework for GANs NIPS 2018
End-to-End Differentiable Physics for Learning and Control NIPS 2018
Horizon-Independent Minimax Linear Regression NIPS 2018
Benefits of over-parameterization with EM NIPS 2018
How to tell when a clustering is (approximately) correct using convex relaxations NIPS 2018
Stochastic Chebyshev Gradient Descent for Spectral Optimization NIPS 2018
$\ell_1$-regression with Heavy-tailed Distributions NIPS 2018
Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities NIPS 2018
Adaptive Methods for Nonconvex Optimization NIPS 2018
Neural Architecture Optimization NIPS 2018
Training Deep Models Faster with Robust, Approximate Importance Sampling NIPS 2018
Learning Beam Search Policies via Imitation Learning NIPS 2018
An Efficient Pruning Algorithm for Robust Isotonic Regression NIPS 2018
L4: Practical loss-based stepsize adaptation for deep learning NIPS 2018
On Misinformation Containment in Online Social Networks NIPS 2018
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NIPS 2018
Online convex optimization for cumulative constraints NIPS 2018