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Optimization

14,983 papers

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Papers

Combined Group and Exclusive Sparsity for Deep Neural Networks ICML 2017
Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method ICML 2017
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning ICML 2017
Convexified Convolutional Neural Networks ICML 2017
Projection-free Distributed Online Learning in Networks ICML 2017
Multi-Class Optimal Margin Distribution Machine ICML 2017
Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values ICML 2017
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm ICML 2017
Efficient Computation of Extensions for Dynamic Abstract Argumentation Frameworks: An Incremental Approach IJCAI 2017
Computing Bayes-Nash Equilibria in Combinatorial Auctions with Continuous Value and Action Spaces IJCAI 2017
Smoothing Method for Approximate Extensive-Form Perfect Equilibrium IJCAI 2017
Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media IJCAI 2017
Computing an Approximately Optimal Agreeable Set of Items IJCAI 2017
Posted Pricing sans Discrimination IJCAI 2017
Estimating the size of search trees by sampling with domain knowledge IJCAI 2017
Online Bridged Pruning for Real-Time Search with Arbitrary Lookaheads IJCAI 2017
A Reduction based Method for Coloring Very Large Graphs IJCAI 2017
Generating Hard Random Boolean Formulas and Disjunctive Logic Programs IJCAI 2017
Scalable Constraint-based Virtual Data Center Allocation IJCAI 2017
From Decimation to Local Search and Back: A New Approach to MaxSAT IJCAI 2017
On the Kernelization of Global Constraints IJCAI 2017
Personnel Scheduling as Satisfiability Modulo Theories IJCAI 2017
Locality in Random SAT Instances IJCAI 2017
A Core-Guided Approach to Learning Optimal Causal Graphs IJCAI 2017
An Effective Learnt Clause Minimization Approach for CDCL SAT Solvers IJCAI 2017