Mathematics & Optimization

EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks AAAI 2019 Earliest-Completion Scheduling of Contract Algorithms with End Guarantees IJCAI 2019 Early-Stopping of Scattering Pattern Observation with Bayesian Modeling AAAI 2019 ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019 EED: Extended Edit Distance Measure for Machine Translation ACL 2019 Efficient Algorithms for Optimal Perimeter Guarding RSS 2019 Efficient Algorithms for Smooth Minimax Optimization NeurIPS 2019 Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks NeurIPS 2019 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 Identification in Linear Structural Causal Models with Instrumental Cutsets NeurIPS 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 Estimating Erdos-Renyi Graphs with Node Differential Privacy NeurIPS 2019 Efficiently Learning Fourier Sparse Set Functions NeurIPS 2019 Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models NeurIPS 2019 Efficient Neutrino Oscillation Parameter Inference with Gaussian Process AAAI 2019 Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations ICML 2019