overparameterized model

Efficient Low-Dimensional Compression of Overparameterized Models AISTATS 2024 First-order ANIL provably learns representations despite overparametrisation ICLR 2024 Gibbs-Based Information Criteria and the Over-Parameterized Regime AISTATS 2024 On the Limitations of Fractal Dimension as a Measure of Generalization NeurIPS 2024 Risk Bounds of Accelerated SGD for Overparameterized Linear Regression ICLR 2024 Sketching for Distributed Deep Learning: A Sharper Analysis NeurIPS 2024 The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective JMLR 2024 Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models NeurIPS 2024 Understanding Pathologies of Deep Heteroskedastic Regression UAI 2024 A Blessing of Dimensionality in Membership Inference through Regularization AISTATS 2023 Aiming towards the minimizers: fast convergence of SGD for overparametrized problems NeurIPS 2023 A Unified Approach to Controlling Implicit Regularization via Mirror Descent JMLR 2023 Benign Overfitting in Adversarially Robust Linear Classification UAI 2023 Benign Overfitting of Constant-Stepsize SGD for Linear Regression JMLR 2023 Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models NeurIPS 2023 Effective passive membership inference attacks in federated learning against overparameterized models ICLR 2023 Explicit Regularization in Overparametrized Models via Noise Injection AISTATS 2023 Implicit Balancing and Regularization: Generalization and Convergence Guarantees for Overparameterized Asymmetric Matrix Sensing COLT 2023 Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence ICLR 2023 Precise asymptotic generalization for multiclass classification with overparameterized linear models NeurIPS 2023 Rethinking Gauss-Newton for learning over-parameterized models NeurIPS 2023 Revisiting minimum description length complexity in overparameterized models JMLR 2023 Strong inductive biases provably prevent harmless interpolation ICLR 2023 The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models AAAI 2023 Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models NeurIPS 2023