Optimization

A Prospective-Performance Network to Alleviate Myopia in Beam Search for Response Generation COLING 2018 A Reductions Approach to Fair Classification ICML 2018 Are GANs Created Equal? A Large-Scale Study NeurIPS 2018 A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization IJCAI 2018 A Robust Approach to Sequential Information Theoretic Planning ICML 2018 A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization JMLR 2018 A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA ACML 2018 ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM Interspeech 2018 A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization NeurIPS 2018 A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates ICML 2018 A Smoother Way to Train Structured Prediction Models NeurIPS 2018 A Stable and Effective Learning Strategy for Trainable Greedy Decoding EMNLP 2018 A Stein variational Newton method NeurIPS 2018 A sum-product algorithm with polynomials for computing exact derivatives of the likelihood in Bayesian networks PGM 2018 ASVRG: Accelerated Proximal SVRG ACML 2018 Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018 Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization ICML 2018 A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization NeurIPS 2018 A Tight Bound of Hard Thresholding JMLR 2018 ATOMO: Communication-efficient Learning via Atomic Sparsification NeurIPS 2018 A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations JMLR 2018 A Two-Step Computation of the Exact GAN Wasserstein Distance ICML 2018 A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning IJCAI 2018 A Unified Dynamic Approach to Sparse Model Selection AISTATS 2018 A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery AISTATS 2018