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Optimization

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Papers

A Core-Guided Approach to Learning Optimal Causal Graphs IJCAI 2017 A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space ACML 2017 Active-set Methods for Submodular Minimization Problems JMLR 2017 Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation CoRL 2017 Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition NeurIPS 2017 Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies CVPR 2017 Adaptive Batch Size for Safe Policy Gradients NeurIPS 2017 Adaptive Consensus ADMM for Distributed Optimization ICML 2017 Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks IJCAI 2017 Adaptive Manifold Regularized Matrix Factorization for Data Clustering IJCAI 2017 Adaptive Multichannel Dereverberation for Automatic Speech Recognition Interspeech 2017 Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation CVPR 2017 Adaptive stimulus selection for optimizing neural population responses NeurIPS 2017 Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter NeurIPS 2017 A distributed block coordinate descent method for training l1 regularized linear classifiers JMLR 2017 ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization NeurIPS 2017 A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems CVPR 2017 Adversarial Surrogate Losses for Ordinal Regression NeurIPS 2017 Affine-Invariant Online Optimization and the Low-rank Experts Problem NeurIPS 2017 Affordable On-line Dialogue Policy Learning EMNLP 2017 A Framework for Optimal Matching for Causal Inference AISTATS 2017 A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing ACL 2017 A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization JMLR 2017 A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics COLT 2017 Algorithms for ℓ_p Low-Rank Approximation ICML 2017