Optimization

Optimization Learning: Perspective, Method, and Applications IJCAI 2020 Optimized Score Transformation for Fair Classification AISTATS 2020 Optimizer Benchmarking Needs to Account for Hyperparameter Tuning ICML 2020 Optimizing Black-box Metrics with Adaptive Surrogates ICML 2020 Optimizing Data Usage via Differentiable Rewards ICML 2020 Optimizing Influenza Vaccine Composition: From Predictions to Prescriptions MLHC 2020 Optimizing Millions of Hyperparameters by Implicit Differentiation AISTATS 2020 Optimizing Neural Networks via Koopman Operator Theory NeurIPS 2020 Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains AAAI 2020 Optimizing Rank-Based Metrics With Blackbox Differentiation CVPR 2020 Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract) AAAI 2020 Optimizing Word Segmentation for Downstream Task EMNLP 2020 OptSLA: an Optimization-Based Approach for Sequential Label Aggregation EMNLP 2020 Oracle Efficient Private Non-Convex Optimization ICML 2020 Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization AISTATS 2020 Ordering Variables for Weighted Model Integration UAI 2020 Ordinal Non-negative Matrix Factorization for Recommendation ICML 2020 Orlicz Random Fourier Features JMLR 2020 Orthogonal Convolutional Neural Networks CVPR 2020 Orthogonal Gradient Descent for Continual Learning AISTATS 2020 OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling NeurIPS 2020 Overload Control for µs-scale RPCs with Breakwater OSDI 2020 Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks ICLR 2020 Pairwise Learning with Differential Privacy Guarantees AAAI 2020 Parallel AND/OR Search for Marginal MAP AAAI 2020