gradient descent

Identifying Mechanical Models of Unknown Objects with Differentiable Physics Simulations L4DC 2020 Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy NeurIPS 2020 Implicit Bias of Gradient Descent based Adversarial Training on Separable Data ICLR 2020 Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss COLT 2020 Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study ICML 2020 Implicit Regularization and Convergence for Weight Normalization NeurIPS 2020 Implicit Regularization in Deep Learning May Not Be Explainable by Norms NeurIPS 2020 Improving First-Order Optimization Algorithms (Student Abstract) AAAI 2020 Information Geometry of Orthogonal Initializations and Training ICLR 2020 Inverse Reinforcement Learning from a Gradient-based Learner NeurIPS 2020 Iterative energy-based projection on a normal data manifold for anomaly localization ICLR 2020 Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout NeurIPS 2020 Kernel and Rich Regimes in Overparametrized Models COLT 2020 Large-Scale Methods for Distributionally Robust Optimization NeurIPS 2020 Learning a Single Neuron with Gradient Methods COLT 2020 Learning Behaviors with Uncertain Human Feedback UAI 2020 Learning compositional functions via multiplicative weight updates NeurIPS 2020 Learning in Gated Neural Networks AISTATS 2020 Learning Linear Programs from Optimal Decisions NeurIPS 2020 Learning Over-Parametrized Two-Layer Neural Networks beyond NTK COLT 2020 Learning Parities with Neural Networks NeurIPS 2020 Low-rank regularization and solution uniqueness in over-parameterized matrix sensing AISTATS 2020 Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control NeurIPS 2020 Meta-Learning with Warped Gradient Descent ICLR 2020 MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation CVPR 2020