gradient descent

Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization L4DC 2020 Most ReLU Networks Suffer from ℓ^2 Adversarial Perturbations NeurIPS 2020 Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization ICML 2020 Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond COLT 2020 Neural Tangents: Fast and Easy Infinite Neural Networks in Python ICLR 2020 Online Positive and Unlabeled Learning IJCAI 2020 On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach ICLR 2020 On the Convergence of Nesterov’s Accelerated Gradient Method in Stochastic Settings ICML 2020 On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms AISTATS 2020 On the linearity of large non-linear models: when and why the tangent kernel is constant NeurIPS 2020 On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them NeurIPS 2020 Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization NeurIPS 2020 Optimal transport mapping via input convex neural networks ICML 2020 Optimization and Analysis of the pAp@k Metric for Recommender Systems ICML 2020 Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions NeurIPS 2020 Optimizing Data Usage via Differentiable Rewards ICML 2020 Optimizing Neural Networks via Koopman Operator Theory NeurIPS 2020 Optimizing Rank-Based Metrics With Blackbox Differentiation CVPR 2020 Orthogonal Gradient Descent for Continual Learning AISTATS 2020 Outlier Robust Mean Estimation with Subgaussian Rates via Stability NeurIPS 2020 Parabolic Approximation Line Search for DNNs NeurIPS 2020 Partial Adversarial Behavior Deception in Security Games IJCAI 2020 Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach NeurIPS 2020 Position-based Scaled Gradient for Model Quantization and Pruning NeurIPS 2020 Randomized Block-Diagonal Preconditioning for Parallel Learning ICML 2020