Optimization

Variants of RMSProp and Adagrad with Logarithmic Regret Bounds ICML 2017 Variational Boosting: Iteratively Refining Posterior Approximations ICML 2017 Variational Policy for Guiding Point Processes ICML 2017 Video Desnowing and Deraining Based on Matrix Decomposition CVPR 2017 Wasserstein Generative Adversarial Networks ICML 2017 Wasserstein Learning of Deep Generative Point Process Models NeurIPS 2017 Weighted Double Q-learning IJCAI 2017 Weighted-Entropy-Based Quantization for Deep Neural Networks CVPR 2017 When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent NeurIPS 2017 When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size) EMNLP 2017 When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness NeurIPS 2017 Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding EMNLP 2017 Zero Shot Learning via Multi-Scale Manifold Regularization CVPR 2017 ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning ICML 2017 3D Reconstruction of Transparent Objects With Position-Normal Consistency CVPR 2016 A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors JMLR 2016 A Box-Constrained Approach for Hard Permutation Problems ICML 2016 A Brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning Without Human Intervention AutoML 2016 Accelerated Generative Models for 3D Point Cloud Data CVPR 2016 Accelerating Online Convex Optimization via Adaptive Prediction AISTATS 2016 Accelerating Stochastic Composition Optimization NeurIPS 2016 Achieving budget-optimality with adaptive schemes in crowdsourcing NeurIPS 2016 A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order NeurIPS 2016 A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery ICML 2016 A Convex Model for Linguistic Influence in Group Conversations Interspeech 2016