Mathematics & Optimization

Learning Optimal Causal Graphs with Exact Search PGM 2018 Learning Optimal Reserve Price against Non-myopic Bidders NeurIPS 2018 Learning Registered Point Processes from Idiosyncratic Observations ICML 2018 Learning Steady-States of Iterative Algorithms over Graphs ICML 2018 Learning To Learn Around A Common Mean NeurIPS 2018 Learning to Optimize Combinatorial Functions ICML 2018 Learning to Round for Discrete Labeling Problems AISTATS 2018 Learning to Solve SMT Formulas NeurIPS 2018 Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity NeurIPS 2018 Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach IJCAI 2018 Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator ICML 2018 Legendre Decomposition for Tensors NeurIPS 2018 Let’s be Honest: An Optimal No-Regret Framework for Zero-Sum Games ICML 2018 Level-Set Methods for Finite-Sum Constrained Convex Optimization ICML 2018 Leveraged volume sampling for linear regression NeurIPS 2018 Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski p-Norms ICML 2018 Lexical Networks in !Xung EMNLP 2018 Limited Memory Kelley's Method Converges for Composite Convex and Submodular Objectives NeurIPS 2018 Linear Satisfiability Preserving Assignments (Extended Abstract) IJCAI 2018 Linear Spectral Estimators and an Application to Phase Retrieval ICML 2018 Linguistic Resources for Phrasal Verb Identification COLING 2018 Local and Global Optimization Techniques in Graph-Based Clustering CVPR 2018 Local Convergence Properties of SAGA/Prox-SVRG and Acceleration ICML 2018 Local Density Estimation in High Dimensions ICML 2018 Local Identifiability of ℓ_1-minimization Dictionary Learning: a Sufficient and Almost Necessary Condition JMLR 2018