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Optimization

14,207 papers

Papers per year

16
106
310
1217
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Papers

Robust Learning of Fixed-Structure Bayesian Networks NIPS 2018
Maximizing acquisition functions for Bayesian optimization NIPS 2018
Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression NIPS 2018
Temporal Regularization for Markov Decision Process NIPS 2018
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates NIPS 2018
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization NIPS 2018
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features NIPS 2018
The Physical Systems Behind Optimization Algorithms NIPS 2018
From Stochastic Planning to Marginal MAP NIPS 2018
Bilevel learning of the Group Lasso structure NIPS 2018
An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression NIPS 2018
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization NIPS 2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport NIPS 2018
Distributed Stochastic Optimization via Adaptive SGD NIPS 2018
A Smoother Way to Train Structured Prediction Models NIPS 2018
Connecting Optimization and Regularization Paths NIPS 2018
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals NIPS 2018
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation NIPS 2018
How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective NIPS 2018
New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity NIPS 2018
Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms NIPS 2018
Neural Ordinary Differential Equations NIPS 2018
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions NIPS 2018
Learning with SGD and Random Features NIPS 2018
Boolean Decision Rules via Column Generation NIPS 2018