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Optimization

1,664 papers

Papers per year

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Papers

Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization ICML 2022
On Numerical Integration in Neural Ordinary Differential Equations ICML 2022
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm ICML 2022
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding IJCAI 2022
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs IJCAI 2022
Adaptive Rectangle Loss for Speaker Verification INTERSPEECH 2022
MSR-NV: Neural Vocoder Using Multiple Sampling Rates INTERSPEECH 2022
Self-Normalized Importance Sampling for Neural Language Modeling INTERSPEECH 2022
On Biased Stochastic Gradient Estimation JMLR 2022
Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent JMLR 2022
Stochastic DCA with Variance Reduction and Applications in Machine Learning JMLR 2022
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022
Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization JMLR 2022
On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping JMLR 2022
A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions JMLR 2022
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022
SGD with Coordinate Sampling: Theory and Practice JMLR 2022
Quality-Aware Decoding for Neural Machine Translation NAACL 2022
Non-Autoregressive Machine Translation: It’s Not as Fast as it Seems NAACL 2022
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation NAACL 2022
Tricks for Training Sparse Translation Models NAACL 2022
Massive-scale Decoding for Text Generation using Lattices NAACL 2022
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs NAACL 2022
Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences NAACL 2022
Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters OSDI 2022