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Papers

Estimating the size of search trees by sampling with domain knowledge IJCAI 2017 Evaluating the Power of Flexible Packet Processing for Network Resource Allocation NSDI 2017 Event Ordering with a Generalized Model for Sieve Prediction Ranking IJCNLP 2017 Evolving Recurrent Neural Networks That Process and Classify Raw Audio in a Streaming Fashion Interspeech 2017 Exact MAP Inference by Avoiding Fractional Vertices ICML 2017 Experience-driven Predictive Control with Robust Constraint Satisfaction under Time-Varying State Uncertainty RSS 2017 Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers JMLR 2017 Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms ICML 2017 Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models IJCAI 2017 Failures of Gradient-Based Deep Learning ICML 2017 Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets AISTATS 2017 Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers NeurIPS 2017 Faster Coordinate Descent via Adaptive Importance Sampling AISTATS 2017 Faster Principal Component Regression and Stable Matrix Chebyshev Approximation ICML 2017 Fast Parallel Training of Neural Language Models IJCAI 2017 Fast Rates for Empirical Risk Minimization of Strict Saddle Problems COLT 2017 Fast rates with high probability in exp-concave statistical learning AISTATS 2017 Fast Recursive Low-rank Tensor Learning for Regression IJCAI 2017 Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization IJCAI 2017 Fast SVM Trained by Divide-and-Conquer Anchors IJCAI 2017 Fast Trajectory Optimization for Agile Quadrotor Maneuvers with a Cable-Suspended Payload RSS 2017 FFTLasso: Large-Scale LASSO in the Fourier Domain CVPR 2017 Filter Flow Made Practical: Massively Parallel and Lock-Free CVPR 2017 Finite-sum Composition Optimization via Variance Reduced Gradient Descent AISTATS 2017 First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization NeurIPS 2017