Optimization

Optimization over Continuous and Multi-dimensional Decisions with Observational Data NeurIPS 2018 Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis ICML 2018 Orthogonally Decoupled Variational Gaussian Processes NeurIPS 2018 Orthogonal Matching Pursuit for Text Classification EMNLP 2018 Parallelizing Spectrally Regularized Kernel Algorithms JMLR 2018 Parallelizing Stochastic Gradient Descent for Least Squares Regression: Mini-batching, Averaging, and Model Misspecification JMLR 2018 Parallel Probabilistic Inference by Weighted Model Counting PGM 2018 Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks NeurIPS 2018 Parser Training with Heterogeneous Treebanks ACL 2018 Passive Static Equilibrium with Frictional Contacts and Application to Grasp Stability Analysis RSS 2018 Path Consistency Learning in Tsallis Entropy Regularized MDPs ICML 2018 Pathwise Derivatives Beyond the Reparameterization Trick ICML 2018 PCC Vivace: Online-Learning Congestion Control NSDI 2018 Phase Retrieval Under a Generative Prior NeurIPS 2018 Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training NeurIPS 2018 PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018 Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes NeurIPS 2018 Policy Optimization as Wasserstein Gradient Flows ICML 2018 Policy Optimization with Second-Order Advantage Information IJCAI 2018 pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment CVPR 2018 Postfiltering with Complex Spectral Correlations for Speech and Audio Coding Interspeech 2018 Power-law Distribution Aware Trust Prediction IJCAI 2018 Practical Bayesian optimization in the presence of outliers AISTATS 2018 Practical Block-Wise Neural Network Architecture Generation CVPR 2018 Practical exact algorithm for trembling-hand equilibrium refinements in games NeurIPS 2018