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local minima

39 papers

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Co-occurring keywords

local minimum (61) non-convex optimization (547) neural network (6616) deep neural network (1803) neural network optimization (1293) stochastic gradient descent (1091) optimization landscape (39) loss landscape (149) nonconvex optimization (316) kernel methods (1097)

Papers

Why is parameter averaging beneficial in SGD? An objective smoothing perspective AISTATS 2024
Revisiting the Noise Model of Stochastic Gradient Descent AISTATS 2024
Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima’s Role AAAI 2024
Understanding and Improving Optimization in Predictive Coding Networks AAAI 2024
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks NIPS 2023
Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations ICML 2023
Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023
Faster Perturbed Stochastic Gradient Methods for Finding Local Minima ALT 2022
Instability and Local Minima in GAN Training with Kernel Discriminators NIPS 2022
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm ICML 2022
A Solver + Gradient Descent Training Algorithm for Deep Neural Networks IJCAI 2022
The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound NIPS 2022
On the Absence of Spurious Local Minima in Nonlinear Low-Rank Matrix Recovery Problems AISTATS 2021
On the Stability Properties and the Optimization Landscape of Training Problems with Squared Loss for Neural Networks and General Nonlinear Conic Approximation Schemes JMLR 2021
Learn2Hop: Learned Optimization on Rough Landscapes ICML 2021
Exponentially Many Local Minima in Quantum Neural Networks ICML 2021
Maximum-and-Concatenation Networks ICML 2020
A Graduated Filter Method for Large Scale Robust Estimation CVPR 2020
On the Distribution of Minima in Intrinsic-Metric Rotation Averaging CVPR 2020
Information-Theoretic Local Minima Characterization and Regularization ICML 2020
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance EMNLP 2020
Are deep ResNets provably better than linear predictors? NIPS 2019
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery JMLR 2019
No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms NIPS 2019
Regularizing Neural Networks via Stochastic Branch Layers ACML 2019