Optimization

Faster Training Algorithms for Structured Sparsity-Inducing Norm IJCAI 2018 FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling ICLR 2018 Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework ICML 2018 Fast Information-theoretic Bayesian Optimisation ICML 2018 Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation NAACL 2018 Fast Maximization of Non-Submodular, Monotonic Functions on the Integer Lattice ICML 2018 Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions NeurIPS 2018 Fast Similarity Search via Optimal Sparse Lifting NeurIPS 2018 Fast Stochastic AUC Maximization with $O(1/n)$-Convergence Rate ICML 2018 Fast Variance Reduction Method with Stochastic Batch Size ICML 2018 Finding Influential Training Samples for Gradient Boosted Decision Trees ICML 2018 Finding Optimal Bayesian Networks with Local Structure PGM 2018 Finding syntax in human encephalography with beam search ACL 2018 Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning COLT 2018 First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time NeurIPS 2018 FLAG n’ FLARE: Fast Linearly-Coupled Adaptive Gradient Methods AISTATS 2018 Forward-Backward Splitting for Time-Varying Graphical Models PGM 2018 Frank-Wolfe Splitting via Augmented Lagrangian Method AISTATS 2018 Frank-Wolfe with Subsampling Oracle ICML 2018 Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit EMNLP 2018 From Predictive Methods to Missing Data Imputation: An Optimization Approach JMLR 2018 From Stochastic Planning to Marginal MAP NeurIPS 2018 Game-Based Video-Context Dialogue EMNLP 2018 Generalized chart constraints for efficient PCFG and TAG parsing ACL 2018 Generalized Inverse Optimization through Online Learning NeurIPS 2018