Optimization

Computing Bayes-Nash Equilibria in Combinatorial Auctions with Continuous Value and Action Spaces IJCAI 2017 Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization IJCNLP 2017 Conditional Accelerated Lazy Stochastic Gradient Descent ICML 2017 Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models AISTATS 2017 Connected Subgraph Detection with Mirror Descent on SDPs ICML 2017 Constrained Bayesian Reinforcement Learning via Approximate Linear Programming IJCAI 2017 Constrained Policy Optimization ICML 2017 Constructive Recommendation IJCAI 2017 Contextual Covariance Matrix Adaptation Evolutionary Strategies IJCAI 2017 Continuous DR-submodular Maximization: Structure and Algorithms NeurIPS 2017 Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization ICML 2017 Convergence Rate of Stochastic k-means AISTATS 2017 Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks NeurIPS 2017 Convexified Convolutional Neural Networks ICML 2017 “Convex Until Proven Guilty”: Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions ICML 2017 Convolutional Phase Retrieval NeurIPS 2017 Cost-Optimal Learning of Causal Graphs ICML 2017 Count-Based Exploration in Feature Space for Reinforcement Learning IJCAI 2017 Curator: Self-Managing Storage for Enterprise Clusters NSDI 2017 Data-driven Random Fourier Features using Stein Effect IJCAI 2017 Data-Efficient Policy Evaluation Through Behavior Policy Search ICML 2017 Decentralized Collaborative Learning of Personalized Models over Networks AISTATS 2017 Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search NeurIPS 2017 Decoupling "when to update" from "how to update" NeurIPS 2017 Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability ICML 2017