Optimization

Lookahead Bayesian Optimization with Inequality Constraints NeurIPS 2017 Lossy Compression of Pattern Databases Using Acyclic Random Hypergraphs IJCAI 2017 Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization COLT 2017 Low-Rank Bilinear Pooling for Fine-Grained Classification CVPR 2017 Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent NeurIPS 2017 Macro Grammars and Holistic Triggering for Efficient Semantic Parsing EMNLP 2017 Massive Exploration of Neural Machine Translation Architectures EMNLP 2017 Matrix Completion with Noisy Entries and Outliers JMLR 2017 Maximum Expected Likelihood Estimation for Zero-resource Neural Machine Translation IJCAI 2017 Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision EMNLP 2017 Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results NeurIPS 2017 Measuring Topic Coherence through Optimal Word Buckets EACL 2017 Memory Efficient Kernel Approximation JMLR 2017 Metaheuristic Approaches to Lexical Substitution and Simplification EACL 2017 Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems ACML 2017 Model-Based Control Using Koopman Operators RSS 2017 Multi-Class Optimal Margin Distribution Machine ICML 2017 Multi-fidelity Bayesian Optimisation with Continuous Approximations ICML 2017 Multi-Information Source Optimization NeurIPS 2017 Multi-objective Bandits: Optimizing the Generalized Gini Index ICML 2017 Multiple Indefinite Kernel Learning for Feature Selection IJCAI 2017 Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization IJCAI 2017 Multiple People Tracking by Lifted Multicut and Person Re-Identification CVPR 2017 Multiscale Quantization for Fast Similarity Search NeurIPS 2017 Multi-view Matrix Factorization for Linear Dynamical System Estimation NeurIPS 2017