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Optimization

14,207 papers

Papers per year

Papers

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
Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming IJCAI 2017
Classical Generalized Probabilistic Satisfiability IJCAI 2017
On Querying Incomplete Information in Databases under Bag Semantics IJCAI 2017
Dominance and Optimisation Based on Scale-Invariant Maximum Margin Preference Learning IJCAI 2017
Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems IJCAI 2017
Contextual Covariance Matrix Adaptation Evolutionary Strategies IJCAI 2017
Handling Noise in Boolean Matrix Factorization IJCAI 2017
Data-driven Random Fourier Features using Stein Effect IJCAI 2017
Top-k Supervise Feature Selection via ADMM for Integer Programming IJCAI 2017
SVD-Based Screening for the Graphical Lasso IJCAI 2017
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World IJCAI 2017
Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017
ROUTE: Robust Outlier Estimation for Low Rank Matrix Recovery IJCAI 2017
Improved Strong Worst-case Upper Bounds for MDP Planning IJCAI 2017
Storage Fit Learning with Unlabeled Data IJCAI 2017
Fast Recursive Low-rank Tensor Learning for Regression IJCAI 2017
Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks IJCAI 2017
Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models IJCAI 2017