Optimization

prDeep: Robust Phase Retrieval with a Flexible Deep Network ICML 2018 Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification ACML 2018 Predicting accuracy on large datasets from smaller pilot data ACL 2018 Prediction Rule Reshaping ICML 2018 Predictive Approximate Bayesian Computation via Saddle Points NeurIPS 2018 Preference Based Adaptation for Learning Objectives NeurIPS 2018 (Probably) Concave Graph Matching NeurIPS 2018 Profile-Based Bandit with Unknown Profiles JMLR 2018 Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity ICML 2018 Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy ICML 2018 Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope ICML 2018 Provable Estimation of the Number of Blocks in Block Models AISTATS 2018 Provable Variational Inference for Constrained Log-Submodular Models NeurIPS 2018 Provably Correct Automatic Sub-Differentiation for Qualified Programs NeurIPS 2018 Proximal Backpropagation ICLR 2018 Pruning Basic Elements for Better Automatic Evaluation of Summaries NAACL 2018 Pyconstruct: Constraint Programming Meets Structured Prediction IJCAI 2018 Radially-Distorted Conjugate Translations CVPR 2018 Randomized Block Cubic Newton Method ICML 2018 Reachability Analysis of Deep Neural Networks with Provable Guarantees IJCAI 2018 Recurrent Neural Network Language Model Adaptation for Conversational Speech Recognition Interspeech 2018 Re-evaluating evaluation NeurIPS 2018 Refining the Confidence Level for Optimistic Bandit Strategies JMLR 2018 Regularized Optimal Transport and the Rot Mover's Distance JMLR 2018 Regularizing and Optimizing LSTM Language Models ICLR 2018