Mathematics & Optimization

Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization COLT 2017 Image Gradient-based Joint Direct Visual Odometry for Stereo Camera IJCAI 2017 Improved Dynamic Regret for Non-degenerate Functions NeurIPS 2017 Improved Graph Laplacian via Geometric Self-Consistency NeurIPS 2017 Improved Strongly Adaptive Online Learning using Coin Betting AISTATS 2017 Improving Gibbs Sampler Scan Quality with DoGS ICML 2017 Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications NeurIPS 2017 Improving ROUGE for Timeline Summarization EACL 2017 Improving the Expected Improvement Algorithm NeurIPS 2017 Improving Viterbi is Hard: Better Runtimes Imply Faster Clique Algorithms ICML 2017 Inference in Graphical Models via Semidefinite Programming Hierarchies NeurIPS 2017 Influence Maximization with ε-Almost Submodular Threshold Functions NeurIPS 2017 Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles JMLR 2017 Information-theoretic analysis of generalization capability of learning algorithms NeurIPS 2017 Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications NeurIPS 2017 Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function ACL 2017 Initialization and Coordinate Optimization for Multi-way Matching AISTATS 2017 Innovation Pursuit: A New Approach to the Subspace Clustering Problem ICML 2017 Integer Linear Programming formulations in Natural Language Processing EACL 2017 Integration Methods and Optimization Algorithms NeurIPS 2017 Interactive Submodular Bandit NeurIPS 2017 Inverse Covariance Estimation with Structured Groups IJCAI 2017 Inverse Filtering for Hidden Markov Models NeurIPS 2017 Is Input Sparsity Time Possible for Kernel Low-Rank Approximation? NeurIPS 2017 Job Selection in a Network of Autonomous UAVs for Delivery of Goods RSS 2017