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Optimization

1184 directly classified papers

Papers per year

Papers

Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery ICML 2017
Approximate Steepest Coordinate Descent ICML 2017
Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification ICML 2017
Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem RSS 2017
Structured Learning for Temporal Relation Extraction from Clinical Records EACL 2017
Lexicalized Reordering for Left-to-Right Hierarchical Phrase-based Translation EACL 2017
Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging IJCNLP 2017
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines AISTATS 2017
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models AISTATS 2017
Efficient Private ERM for Smooth Objectives IJCAI 2017
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization IJCAI 2017
Large-scale Online Kernel Learning with Random Feature Reparameterization IJCAI 2017
Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks ICML 2017
Tensor Decomposition with Smoothness ICML 2017
How to Escape Saddle Points Efficiently ICML 2017
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent ICML 2017
Efficient Weighted Model Integration via SMT-Based Predicate Abstraction IJCAI 2017
CCEHC: An Efficient Local Search Algorithm for Weighted Partial Maximum Satisfiability (Extended Abstract) IJCAI 2017
Rescoring-Aware Beam Search for Reduced Search Errors in Contextual Automatic Speech Recognition INTERSPEECH 2017
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks JMLR 2017
A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification JMLR 2017
Breaking the Curse of Dimensionality with Convex Neural Networks JMLR 2017
A distributed block coordinate descent method for training l1 regularized linear classifiers JMLR 2017
Gap Safe Screening Rules for Sparsity Enforcing Penalties JMLR 2017
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models JMLR 2017