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Optimization

14,983 papers

Papers per year

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Papers

Online Continual Learning with Maximal Interfered Retrieval NIPS 2019
Robust Attribution Regularization NIPS 2019
Trivializations for Gradient-Based Optimization on Manifolds NIPS 2019
Ouroboros: On Accelerating Training of Transformer-Based Language Models NIPS 2019
Globally Optimal Learning for Structured Elliptical Losses NIPS 2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks NIPS 2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness NIPS 2019
Reducing the variance in online optimization by transporting past gradients NIPS 2019
Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces NIPS 2019
Root Mean Square Layer Normalization NIPS 2019
Asymptotics for Sketching in Least Squares Regression NIPS 2019
Causal Regularization NIPS 2019
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent NIPS 2019
Multi-Criteria Dimensionality Reduction with Applications to Fairness NIPS 2019
Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy NIPS 2019
DetNAS: Backbone Search for Object Detection NIPS 2019
Inverting Deep Generative models, One layer at a time NIPS 2019
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks NIPS 2019
A Latent Variational Framework for Stochastic Optimization NIPS 2019
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods NIPS 2019
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates NIPS 2019
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization NIPS 2019
Differentiable Cloth Simulation for Inverse Problems NIPS 2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks NIPS 2019
Practical Two-Step Lookahead Bayesian Optimization NIPS 2019