local minima

Implicit bias of SGD in L_2-regularized linear DNNs: One-way jumps from high to low rank ICLR 2024 Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss ICML 2024 Potential Based Diffusion Motion Planning ICML 2024 Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima’s Role AAAI 2024 Revisiting the Noise Model of Stochastic Gradient Descent AISTATS 2024 Understanding and Improving Optimization in Predictive Coding Networks AAAI 2024 Why is parameter averaging beneficial in SGD? An objective smoothing perspective AISTATS 2024 Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023 Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations ICML 2023 Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks NeurIPS 2023 Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks ICLR 2023 A Solver + Gradient Descent Training Algorithm for Deep Neural Networks IJCAI 2022 Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics ICLR 2022 Faster Perturbed Stochastic Gradient Methods for Finding Local Minima ALT 2022 Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm ICML 2022 Instability and Local Minima in GAN Training with Kernel Discriminators NeurIPS 2022 The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound NeurIPS 2022 Exponentially Many Local Minima in Quantum Neural Networks ICML 2021 Learn2Hop: Learned Optimization on Rough Landscapes ICML 2021 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 A Graduated Filter Method for Large Scale Robust Estimation CVPR 2020 BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance EMNLP 2020 Bounds on Over-Parameterization for Guaranteed Existence of Descent Paths in Shallow ReLU Networks ICLR 2020 Information-Theoretic Local Minima Characterization and Regularization ICML 2020