Latest Research in Optimization and Control

86 research papers · 2026 median publication year

Top Research Topics in Optimization and Control

Highest-Cited Papers

  1. The logistic-normal integral and the moments of the logistic-normal distribution
  2. Variable Smoothing for Weakly Convex Problems with Non-Euclidean Directions
  3. A new thinning method of spatial point processes based on using Boolean random set models
  4. Diffeomorphic Markov Chain Monte Carlo: fast mixing for heavy-tailed distributions
  5. A New Approach to Goodness of Fit for Ergodic Markov Processes
  6. A Proof of the Convergence a Lipschitz Upper Confidence Bound
  7. Combining e-values using demi-supermartingales
  8. The Path to the Minimum Matters: What an Optimizer Actually Changes
  9. Phase transition in a long-memory log-Gaussian Cox process
  10. Objective-function free multi-objective optimization: rate of convergence and performance of an Adagrad-like algorithm
  11. Empirical optimal transport potentials: fast rates and a functional central limit theorem
  12. DiPMInd: Distance Profile based Mutual Independence testing for random objects
  13. Optimal rates for estimating the covariance kernel from synchronously sampled functional data
  14. W-transforms: Uniformity-preserving transformations and induced dependence structures
  15. Newton Method for Fixed-Support Doubly Entropic Wasserstein Barycenter
  16. Flow Matching with von Mises-Fisher Posteriors: An Irreducibility Theorem
  17. Selfnormalization for relevant inference with supremum-type statistics
  18. NMINE: Normalized Mutual Information Neural Estimation
  19. Statistical Inference for Stochastic Gradient Descent: Beyond Finite Variance
  20. How e-values generalize hypothesis testing: a Neyman-Pearson lemma for the e-value
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2026 AUG Q1

Optimization and Control

86 papers

Top Topics (10)

Statistics Theory24
Methodology13
Optimization and Control6
Machine Learning5
Machine Learning4
Probability4
Computation2
Advanced Multi-Objective Optimization Algorithms2
Risk Management2
Markov Chains and Monte Carlo Methods2

Top Publications (20)

1.The logistic-normal integral and the moments of the logistic-normal distribution2.Variable Smoothing for Weakly Convex Problems with Non-Euclidean Directions3.A new thinning method of spatial point processes based on using Boolean random set models4.Diffeomorphic Markov Chain Monte Carlo: fast mixing for heavy-tailed distributions5.A New Approach to Goodness of Fit for Ergodic Markov Processes6.A Proof of the Convergence a Lipschitz Upper Confidence Bound7.Combining e-values using demi-supermartingales8.The Path to the Minimum Matters: What an Optimizer Actually Changes9.Phase transition in a long-memory log-Gaussian Cox process10.Objective-function free multi-objective optimization: rate of convergence and performance of an Adagrad-like algorithm11.Empirical optimal transport potentials: fast rates and a functional central limit theorem12.DiPMInd: Distance Profile based Mutual Independence testing for random objects13.Optimal rates for estimating the covariance kernel from synchronously sampled functional data14.W-transforms: Uniformity-preserving transformations and induced dependence structures15.Newton Method for Fixed-Support Doubly Entropic Wasserstein Barycenter16.Flow Matching with von Mises-Fisher Posteriors: An Irreducibility Theorem17.Selfnormalization for relevant inference with supremum-type statistics18.NMINE: Normalized Mutual Information Neural Estimation19.Statistical Inference for Stochastic Gradient Descent: Beyond Finite Variance20.How e-values generalize hypothesis testing: a Neyman-Pearson lemma for the e-value
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