maximum margin

The Implicit Bias of Adam on Separable Data NeurIPS 2024 On the Implicit Bias of Linear Equivariant Steerable Networks NeurIPS 2023 The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks ICLR 2023 Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently NeurIPS 2022 Active Learning with Maximum Margin Sparse Gaussian Processes AISTATS 2021 Characterizing the implicit bias via a primal-dual analysis ALT 2021 Finite-sample Analysis of Interpolating Linear Classifiers in the Overparameterized Regime JMLR 2021 Learning Maximum Margin Markov Networks from examples with missing labels ACML 2021 Gradient descent follows the regularization path for general losses COLT 2020 Maximum Margin Multi-Dimensional Classification AAAI 2020 Convergence of Gradient Descent on Separable Data AISTATS 2019 Gradient descent aligns the layers of deep linear networks ICLR 2019 Minimum Divergence vs. Maximum Margin: an Empirical Comparison on Seq2Seq Models ICLR 2019 The implicit bias of gradient descent on nonseparable data COLT 2019 Dominance and Optimisation Based on Scale-Invariant Maximum Margin Preference Learning IJCAI 2017 Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision EMNLP 2017 Minimum Density Hyperplanes JMLR 2016 Embedding Inference for Structured Multilabel Prediction NeurIPS 2015 Maximum Margin Partial Label Learning ACML 2015 Maximum-Margin Structured Learning With Deep Networks for 3D Human Pose Estimation ICCV 2015 Minimizing Human Effort in Interactive Tracking by Incremental Learning of Model Parameters ICCV 2015 Event Detection using Multi-Level Relevance Labels and Multiple Features CVPR 2014 Learning Maximum Margin Temporal Warping for Action Recognition ICCV 2013 Learning to Rank Using Privileged Information ICCV 2013 Multi-Class Classification with Maximum Margin Multiple Kernel ICML 2013