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Optimization

1638 directly classified papers

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Papers

Calibrated Stochastic Gradient Descent for Convolutional Neural Networks AAAI 2019
Numerical Optimization to AI, and Back AAAI 2019
Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation ICCV 2019
End-to-End Optimization of Source Models for Speech and Audio Coding Using a Machine Learning Framework INTERSPEECH 2019
Improving Keyword Spotting and Language Identification via Neural Architecture Search at Scale INTERSPEECH 2019
Step Size Matters in Deep Learning NIPS 2018
Adaptive Negative Curvature Descent with Applications in Non-convex Optimization NIPS 2018
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NIPS 2018
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization IJCAI 2018
A Two-Step Computation of the Exact GAN Wasserstein Distance ICML 2018
Which Training Methods for GANs do actually Converge? ICML 2018
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption ICML 2018
Efficient First-Order Algorithms for Adaptive Signal Denoising ICML 2018
Learning Compact Neural Networks with Regularization ICML 2018
Accelerating Natural Gradient with Higher-Order Invariance ICML 2018
Towards Fast Computation of Certified Robustness for ReLU Networks ICML 2018
Conditional-Computation-Based Recurrent Neural Networks for Computationally Efficient Acoustic Modelling INTERSPEECH 2018
The Implicit Bias of Gradient Descent on Separable Data JMLR 2018
RSG: Beating Subgradient Method without Smoothness and Strong Convexity JMLR 2018
Weighted SGD for $\ell_p$ Regression with Randomized Preconditioning JMLR 2018
Gradient Hard Thresholding Pursuit JMLR 2018
Spotlight: Optimizing Device Placement for Training Deep Neural Networks ICML 2018
Towards Dynamic Computation Graphs via Sparse Latent Structure EMNLP 2018
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation EMNLP 2018
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization IJCAI 2018