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Bibliographic Details
Main Authors:	Gan, Die, Xie, Siyu, Liu, Zhixin, Zhang, Xuebo
Format:	Preprint
Published:	2026
Subjects:	Systems and Control Optimization and Control Statistics Theory
Online Access:	https://arxiv.org/abs/2604.25468
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Constrained recursive kernel density/regression estimation by stochastic quasi-gradient methods
by: Norkin, Vladimir, et al.
Published: (2024)

The optimizing mode classification stabilization of sampled stochastic jump systems via an improved hill-climbing algorithm based on Q-learning
by: Wang, Guoliang
Published: (2024)

Unscented Trajectory Optimization
by: Ross, I. M., et al.
Published: (2024)

Distributionally-Robust Optimization with Noisy Data for Discrete Uncertainties Using Total Variation Distance
by: Farokhi, Farhad
Published: (2023)

Markov Kernels, Distances and Optimal Control: A Parable of Linear Quadratic Non-Gaussian Distribution Steering
by: Teter, Alexis M. H., et al.
Published: (2025)

Optimal distributions for randomized unbiased estimators with an infinite horizon and an adaptive algorithm
by: Zheng, Chao, et al.
Published: (2023)

Kernel Mean Embedding Topology: Weak and Strong Forms for Stochastic Kernels and Implications for Model Learning
by: Saldi, Naci, et al.
Published: (2025)

Autonomy in the Real-World: Autonomous Trajectory Planning for Asteroid Reconnaissance via Stochastic Optimization
by: Echigo, Kazuya, et al.
Published: (2024)

Joint Learning of Linear Dynamical Systems under Smoothness Constraints
by: Tyagi, Hemant
Published: (2024)

Learning linear dynamical systems under convex constraints
by: Tyagi, Hemant, et al.
Published: (2023)

Function Gradient Approximation with Random Shallow ReLU Networks with Control Applications
by: Lamperski, Andrew, et al.
Published: (2024)

Evaluability of paired comparison data in stochastic paired comparison models: Necessary and sufficient condition
by: Gyarmati, László, et al.
Published: (2025)

Entropic vector quantile regression: Duality and Gaussian case
by: Kato, Kengo, et al.
Published: (2026)

Distributional stability of sparse inverse covariance matrix estimators
by: Chen, Renjie, et al.
Published: (2024)

Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
by: Wang, Han, et al.
Published: (2025)

Off-policy estimation with adaptively collected data: the power of online learning
by: Lee, Jeonghwan, et al.
Published: (2024)

Low-rank matrix recovery via nonconvex optimization methods with application to errors-in-variables matrix regression
by: Li, Xin, et al.
Published: (2024)

Wasserstein Distributionally Robust Quantile Regression
by: Zhang, Chunxu, et al.
Published: (2026)

The out-of-sample prediction error of the square-root-LASSO and related estimators
by: Olea, José Luis Montiel, et al.
Published: (2022)

Sample Average Approximation for Distributionally Robust Optimization with $ϕ$-divergences
by: Li, Yan
Published: (2026)

Estimating the Convex Hull of the Image of a Set with Smooth Boundary: Error Bounds and Applications
by: Lew, Thomas, et al.
Published: (2023)

Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models
by: Mou, Wenlong
Published: (2025)

A Christoffel-like function for high-dimensional support inference in graphical models
by: Lasserre, Jean-Bernard, et al.
Published: (2024)

Accuracy of the Ensemble Kalman Filter in the Near-Linear Setting
by: Calvello, Edoardo, et al.
Published: (2024)

Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources
by: Rychener, Yves, et al.
Published: (2024)

Convergence of flow-based generative models via proximal gradient descent in Wasserstein space
by: Cheng, Xiuyuan, et al.
Published: (2023)

Failure of uniform laws of large numbers for subdifferentials and beyond
by: Tian, Lai, et al.
Published: (2025)

Low-rank Tensor Autoregressive Predictor for Third-Order Time-Series Forecasting
by: Wang, Haoning, et al.
Published: (2024)

Statistical Inference of Day-to-Day Traffic Dynamics
by: Wu, Minghui, et al.
Published: (2026)

Sharp recovery and landscape guarantees for the nonconvex matrix LASSO
by: McRae, Andrew D., et al.
Published: (2026)

Robust stochastic first order methods in heavy-tailed noise via medoid mini-batch gradient sampling
by: Vukovic, Manojlo, et al.
Published: (2026)

Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization
by: Yang, Zhuoran, et al.
Published: (2020)

Optimization via Strategic Law of Large Numbers
by: Chen, Xiaohong, et al.
Published: (2024)

Optimal transport and Wasserstein distances for causal models
by: Cheridito, Patrick, et al.
Published: (2023)

The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
by: Huo, Dongyan, et al.
Published: (2024)

Risk reversal for least squares estimators under nested convex constraints
by: Al-Ghattas, Omar
Published: (2026)

Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
by: Mou, Wenlong, et al.
Published: (2021)

Geometry-Aware Langevin Sampling for Matrix-Valued Graph Learning
by: Dey, Papri
Published: (2026)

Pattern formation using an intrinsic optimal control approach
by: Li, Tianhao, et al.
Published: (2025)

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// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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