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Optimization

14,983 papers

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Papers

Better Full-Matrix Regret via Parameter-Free Online Learning NIPS 2020
Large-Scale Methods for Distributionally Robust Optimization NIPS 2020
Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits NIPS 2020
Myersonian Regression NIPS 2020
Finer Metagenomic Reconstruction via Biodiversity Optimization NIPS 2020
Learning with Differentiable Pertubed Optimizers NIPS 2020
Online Linear Optimization with Many Hints NIPS 2020
Exploiting the Surrogate Gap in Online Multiclass Classification NIPS 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems NIPS 2020
Federated Bayesian Optimization via Thompson Sampling NIPS 2020
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform NIPS 2020
Provably adaptive reinforcement learning in metric spaces NIPS 2020
Optimal Query Complexity of Secure Stochastic Convex Optimization NIPS 2020
Generalization Bound of Gradient Descent for Non-Convex Metric Learning NIPS 2020
Dynamic Submodular Maximization NIPS 2020
Continual Learning in Low-rank Orthogonal Subspaces NIPS 2020
Biological credit assignment through dynamic inversion of feedforward networks NIPS 2020
On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression NIPS 2020
Stochastic Optimization with Laggard Data Pipelines NIPS 2020
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration NIPS 2020
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form NIPS 2020
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding NIPS 2020
FrugalML: How to use ML Prediction APIs more accurately and cheaply NIPS 2020
Monotone operator equilibrium networks NIPS 2020
Non-Stochastic Control with Bandit Feedback NIPS 2020