Optimization

Online Learning with a Hint NeurIPS 2017 Online Learning Without Prior Information COLT 2017 Online Nonnegative Matrix Factorization with General Divergences AISTATS 2017 Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability ICML 2017 Online Reputation Fraud Campaign Detection in User Ratings IJCAI 2017 Online Robust Low-Rank Tensor Learning IJCAI 2017 Online to Offline Conversions, Universality and Adaptive Minibatch Sizes NeurIPS 2017 On Perturbed Proximal Gradient Algorithms JMLR 2017 On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning NeurIPS 2017 On Querying Incomplete Information in Databases under Bag Semantics IJCAI 2017 On Structured Prediction Theory with Calibrated Convex Surrogate Losses NeurIPS 2017 On the Flatness of Loss Surface for Two-layered ReLU Networks ACML 2017 On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit ICML 2017 On the Kernelization of Global Constraints IJCAI 2017 On the Optimization Landscape of Tensor Decompositions NeurIPS 2017 On The Projection Operator to A Three-view Cardinality Constrained Set ICML 2017 On the Quality and Intelligibility of Noisy Speech Processed for Near-End Listening Enhancement Interspeech 2017 Optimal Escape Interdiction on Transportation Networks IJCAI 2017 Optimal Rates for Multi-pass Stochastic Gradient Methods JMLR 2017 Optimistic Planning for the Stochastic Knapsack Problem AISTATS 2017 Optimized Pre-Processing for Discrimination Prevention NeurIPS 2017 Optimized Time Series Filters for Detecting Laughter and Filler Events Interspeech 2017 Optimizing Differentiable Relaxations of Coreference Evaluation Metrics CoNLL 2017 Optimizing Expected Word Error Rate via Sampling for Speech Recognition Interspeech 2017 OptNet: Differentiable Optimization as a Layer in Neural Networks ICML 2017