Optimization

An Input-aware Factorization Machine for Sparse Prediction IJCAI 2019 An Investigation into Neural Net Optimization via Hessian Eigenvalue Density ICML 2019 A Non–Convex Optimization Approach to Correlation Clustering AAAI 2019 A Nonconvex Projection Method for Robust PCA AAAI 2019 An Online Algorithm for Smoothed Regression and LQR Control AISTATS 2019 An Online Learning Approach to Model Predictive Control RSS 2019 An Optimal Algorithm for Stochastic Three-Composite Optimization AISTATS 2019 An Optimal Control Approach to Sequential Machine Teaching AISTATS 2019 An Optimal High-Order Tensor Method for Convex Optimization COLT 2019 An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning AAAI 2019 ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION ICLR 2019 Anytime Recursive Best-First Search for Bounding Marginal MAP AAAI 2019 A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families NeurIPS 2019 Approximability of Constant-horizon Constrained POMDP IJCAI 2019 Approximate Guarantees for Dictionary Learning COLT 2019 Approximate Kernel Selection with Strong Approximate Consistency AAAI 2019 Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis IJCAI 2019 Approximate Optimal Transport for Continuous Densities with Copulas IJCAI 2019 Approximate Profile Maximum Likelihood JMLR 2019 Approximate Relative Value Learning for Average-reward Continuous State MDPs UAI 2019 Approximating Integer Solution Counting via Space Quantification for Linear Constraints IJCAI 2019 Approximation Hardness for A Class of Sparse Optimization Problems JMLR 2019 A Primal Dual Formulation For Deep Learning With Constraints NeurIPS 2019 A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent ICML 2019 ARAML: A Stable Adversarial Training Framework for Text Generation EMNLP 2019