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Papers (including subtopics)

Efficient and Robust Registration on the 3D Special Euclidean Group ICCV 2019 Efficient and Scalable Multi-Task Regression on Massive Number of Tasks AAAI 2019 Efficient and Thrifty Voting by Any Means Necessary NeurIPS 2019 Efficient Bayesian Experimental Design for Implicit Models AISTATS 2019 Efficient Convex Relaxations for Streaming PCA NeurIPS 2019 Efficient Full-Matrix Adaptive Regularization ICML 2019 Efficient Greedy Coordinate Descent for Composite Problems AISTATS 2019 Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates ACML 2019 Efficient Linear Bandits through Matrix Sketching AISTATS 2019 Efficiently avoiding saddle points with zero order methods: No gradients required NeurIPS 2019 Efficiently escaping saddle points on manifolds NeurIPS 2019 Efficiently Learning Fourier Sparse Set Functions NeurIPS 2019 Efficient Neutrino Oscillation Parameter Inference with Gaussian Process AAAI 2019 Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations ICML 2019 Efficient Non-parametric Bayesian Hawkes Processes IJCAI 2019 Efficient Online Learning for Mapping Kernels on Linguistic Structures AAAI 2019 Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines AAAI 2019 Efficient Pure Exploration in Adaptive Round model NeurIPS 2019 Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium NeurIPS 2019 Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization IJCAI 2019 Efficient Search-Based Weighted Model Integration UAI 2019 Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent NeurIPS 2019 Efficient Solving of Birds of a Feather Puzzles AAAI 2019 Efficient Symmetric Norm Regression via Linear Sketching NeurIPS 2019 EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch CVPR 2019