Mathematics & Optimization

Gaussian Regression with Convex Constraints AISTATS 2019 Generalization Error Analysis of Quantized Compressive Learning NeurIPS 2019 Generalized Approximate Survey Propagation for High-Dimensional Estimation ICML 2019 Generalized Distance Bribery AAAI 2019 Generalized Linear Rule Models ICML 2019 Generalized Majorization-Minimization ICML 2019 Generalized Majorization-Minimization for Non-Convex Optimization IJCAI 2019 Generalized Potential Heuristics for Classical Planning IJCAI 2019 Generalized Score Matching for Non-Negative Data JMLR 2019 Generalized Sliced Wasserstein Distances NeurIPS 2019 General parallel optimization a without metric ALT 2019 General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme NeurIPS 2019 General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits AAAI 2019 Generating Modern Poetry Automatically in Finnish EMNLP 2019 GENO -- GENeric Optimization for Classical Machine Learning NeurIPS 2019 Geometric Losses for Distributional Learning ICML 2019 Geometric Understanding for Unsupervised Subspace Learning IJCAI 2019 Geometry and Symmetry in Short-and-Sparse Deconvolution ICML 2019 Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension ACML 2019 Global Convergence of Gradient Descent for Deep Linear Residual Networks NeurIPS 2019 Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems AISTATS 2019 Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses NeurIPS 2019 Globally Optimal Learning for Structured Elliptical Losses NeurIPS 2019 Globally optimal score-based learning of directed acyclic graphs in high-dimensions NeurIPS 2019 Global Optimization under Length Constraint for Neural Text Summarization ACL 2019