Optimization

Efficiently escaping saddle points on manifolds NeurIPS 2019 Efficiently testing local optimality and escaping saddles for ReLU networks ICLR 2019 Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution ICLR 2019 Efficient Neural Network Verification with Exactness Characterization UAI 2019 Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods AISTATS 2019 Efficient online learning with kernels for adversarial large scale problems NeurIPS 2019 Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines AAAI 2019 Efficient optimization of loops and limits with randomized telescoping sums ICML 2019 Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks IJCAI 2019 Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization IJCAI 2019 Efficient Rematerialization for Deep Networks NeurIPS 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 Training on Very Large Corpora via Gramian Estimation ICLR 2019 EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch CVPR 2019 Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking CVPR 2019 Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models ICML 2019 Empirical Mechanism Design: Designing Mechanisms from Data UAI 2019 Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data AISTATS 2019 EMPNet: Neural Localisation and Mapping Using Embedded Memory Points ICCV 2019 Enabling hyperparameter optimization in sequential autoencoders for spiking neural data NeurIPS 2019 End-to-End Learning for Graph Decomposition ICCV 2019 End-to-End Neural Speaker Diarization with Permutation-Free Objectives Interspeech 2019 End-to-End Optimization of Source Models for Speech and Audio Coding Using a Machine Learning Framework Interspeech 2019 Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking ICLR 2019