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Papers (including subtopics)

Gradient-based Hyperparameter Optimization through Reversible Learning ICML 2015 Gradient Estimation Using Stochastic Computation Graphs NeurIPS 2015 Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NeurIPS 2015 Graph-Based Simplex Method for Pairwise Energy Minimization With Binary Variables CVPR 2015 Graphical Models via Univariate Exponential Family Distributions JMLR 2015 Guidance and Navigation for UAV Airborne Docking RSS 2015 Handling Motion Blur in Multi-Frame Super-Resolution CVPR 2015 Hashing for Distributed Data ICML 2015 Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks NeurIPS 2015 Hidden Markov Anomaly Detection ICML 2015 Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling ICCV 2015 Hierarchically-Constrained Optical Flow CVPR 2015 Hierarchies of Relaxations for Online Prediction Problems with Evolving Constraints COLT 2015 High Confidence Policy Improvement ICML 2015 High Dimensional Bayesian Optimisation and Bandits via Additive Models ICML 2015 High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality NeurIPS 2015 High-dimensional neural spike train analysis with generalized count linear dynamical systems NeurIPS 2015 Higher-Order Inference for Multi-Class Log-Supermodular Models ICCV 2015 Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent RSS 2015 HONOR: Hybrid Optimization for NOn-convex Regularized problems NeurIPS 2015 How Hard is Inference for Structured Prediction? ICML 2015 Human Pose Estimation in Videos ICCV 2015 Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior ICCV 2015 Image Segmentation in Twenty Questions CVPR 2015 Implementable confidence sets in high dimensional regression AISTATS 2015