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generalization measure (1) critical learning period (1) tempered posterior (1) sinkhorn-knopp algorithm (1) moment accountant (1) local lipschitzness (1) class selectivity (1) dp-sgd (1) closed-form (1) provable guarantee (1)

Papers

Differential Privacy Mechanisms in Neural Tangent Kernel Regression WACV 2025 Proactive DP: A Multiple Target Optimization Framework for DP-SGD ICML 2024 Finding Generalization Measures by Contrasting Signal and Noise ICML 2023 Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent ICLR 2023 The Fine Print on Tempered Posteriors ACML 2023 Seizing Critical Learning Periods in Federated Learning AAAI 2022 Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs ICLR 2021 A Closer Look at Accuracy vs. Robustness NeurIPS 2020 The Generalization-Stability Tradeoff In Neural Network Pruning NeurIPS 2020 Equi-normalization of Neural Networks ICLR 2019