Optimization

Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis ICML 2017 Consensus Maximization With Linear Matrix Inequality Constraints CVPR 2017 Dissipativity Theory for Nesterov’s Accelerated Method ICML 2017 Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization ICML 2017 Efficient Kernel Selection via Spectral Analysis IJCAI 2017 Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NeurIPS 2017 Filter Flow Made Practical: Massively Parallel and Lock-Free CVPR 2017 Front-to-End Bidirectional Heuristic Search with Near-Optimal Node Expansions IJCAI 2017 Generalized Linear Model Regression under Distance-to-set Penalties NeurIPS 2017 How to Escape Saddle Points Efficiently ICML 2017 Image Gradient-based Joint Direct Visual Odometry for Stereo Camera IJCAI 2017 Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles JMLR 2017 Learning-Based Abstractions for Nonlinear Constraint Solving IJCAI 2017 Max-value Entropy Search for Efficient Bayesian Optimization ICML 2017 Near-Optimal Design of Experiments via Regret Minimization ICML 2017 On Approximation Guarantees for Greedy Low Rank Optimization ICML 2017 On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models JMLR 2017 Optimized Time Series Filters for Detecting Laughter and Filler Events Interspeech 2017 Optimizing Differentiable Relaxations of Coreference Evaluation Metrics CoNLL 2017 Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space ICML 2017 Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks ICML 2017 Revenue Optimization with Approximate Bid Predictions NeurIPS 2017 Riemannian Optimization for Skip-Gram Negative Sampling ACL 2017 Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation NeurIPS 2017 Second-Order Stochastic Optimization for Machine Learning in Linear Time JMLR 2017