Optimization

Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations ICML 2017 Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks ICML 2017 Pytheas: Enabling Data-Driven Quality of Experience Optimization Using Group-Based Exploration-Exploitation NSDI 2017 QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding NeurIPS 2017 Radiometric Calibration for Internet Photo Collections CVPR 2017 Ranking Data with Continuous Labels through Oriented Recursive Partitions NeurIPS 2017 Real-Time Modulation Enhancement of Temporal Envelopes for Increasing Speech Intelligibility Interspeech 2017 REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models NeurIPS 2017 Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping Interspeech 2017 Recursive Sampling for the Nystrom Method NeurIPS 2017 Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning ICML 2017 Reduction Techniques for Model Checking and Learning in MDPs IJCAI 2017 Regret for Expected Improvement over the Best-Observed Value and Stopping Condition ACML 2017 Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization NeurIPS 2017 Reinforcement Learning under Model Mismatch NeurIPS 2017 Reinforcement mechanism design IJCAI 2017 Renyi Differential Privacy Mechanisms for Posterior Sampling NeurIPS 2017 Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks EMNLP 2017 Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media IJCAI 2017 Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method ICML 2017 Rescale-Invariant SVM for Binary Classification IJCAI 2017 Rescoring-Aware Beam Search for Reduced Search Errors in Contextual Automatic Speech Recognition Interspeech 2017 Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems CVPR 2017 Revenue Optimization with Approximate Bid Predictions NeurIPS 2017 Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems CVPR 2017