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Optimization

1184 directly classified papers

Papers per year

Papers

Differentiable reservoir computing JMLR 2019
Learning Optimized Risk Scores JMLR 2019
ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM JMLR 2019
Approximate Profile Maximum Likelihood JMLR 2019
Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression JMLR 2019
Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints AAAI 2019
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy AAAI 2019
Weighted SGD for $\ell_p$ Regression with Randomized Preconditioning JMLR 2018
Learning to Optimize Combinatorial Functions ICML 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning NAACL 2018
Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers JMLR 2018
Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery JMLR 2018
Regularized Optimal Transport and the Rot Mover's Distance JMLR 2018
A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations JMLR 2018
Estimation of Graphical Models through Structured Norm Minimization JMLR 2018
A Tight Bound of Hard Thresholding JMLR 2018
The Search Problem in Mixture Models JMLR 2018
Sparse Concordance-assisted Learning for Optimal Treatment Decision JMLR 2018
Training Gaussian Mixture Models at Scale via Coresets JMLR 2018
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes IJCAI 2018
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning IJCAI 2018
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers IJCAI 2018
Computational Approaches for Stochastic Shortest Path on Succinct MDPs IJCAI 2018
Analyzing Tie-Breaking Strategies for the A* Algorithm IJCAI 2018