Optimization

ℓ_1 Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent COLT 2018 ℓ_1-regression with Heavy-tailed Distributions NeurIPS 2018 A Biresolution Spectral Framework for Product Quantization CVPR 2018 A Block Coordinate Ascent Algorithm for Mean-Variance Optimization NeurIPS 2018 Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs IJCAI 2018 Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent COLT 2018 Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization NeurIPS 2018 Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms AISTATS 2018 Accelerating Greedy Coordinate Descent Methods ICML 2018 Accelerating Natural Gradient with Higher-Order Invariance ICML 2018 Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment NAACL 2018 Accelerating Stochastic Gradient Descent for Least Squares Regression COLT 2018 Acceleration through Optimistic No-Regret Dynamics NeurIPS 2018 A Convex Duality Framework for GANs NeurIPS 2018 Acoustic Modeling with DFSMN-CTC and Joint CTC-CE Learning Interspeech 2018 Activation Maximization Generative Adversarial Nets ICLR 2018 Adaboost with Auto-Evaluation for Conversational Models IJCAI 2018 AdaGeo: Adaptive Geometric Learning for Optimization and Sampling AISTATS 2018 Adaptive balancing of gradient and update computation times using global geometry and approximate subproblems AISTATS 2018 Adaptive Dropout with Rademacher Complexity Regularization ICLR 2018 Adaptive Methods for Nonconvex Optimization NeurIPS 2018 Adaptive Multi-pass Decoder for Neural Machine Translation EMNLP 2018 Adaptive Negative Curvature Descent with Applications in Non-convex Optimization NeurIPS 2018 Adaptive Online Learning in Dynamic Environments NeurIPS 2018 Adaptive Sampled Softmax with Kernel Based Sampling ICML 2018