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Found 4 papers, 1 papers with code
Regularization and Optimization in Model-Based Clustering
We develop more effective optimization algorithms for general GMMs, and we combine these algorithms with regularization strategies that avoid overfitting.
Flexible Differentiable Optimization via Model Transformations
We introduce DiffOpt. jl, a Julia library to differentiate through the solution of optimization problems with respect to arbitrary parameters present in the objective and/or constraints.
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting
Forecasting and decision-making are generally modeled as two sequential steps with no feedback, following an open-loop approach.
Community Detection for Power Systems Network Aggregation Considering Renewable Variability
The increasing penetration of variable renewable energy (VRE) has brought significant challenges for power systems planning and operation.
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