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Bibliographic Details
Main Authors:	Durot, Cecile, Mukherjee, Debarghya
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	https://arxiv.org/abs/2404.09306
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Minimax rates of convergence for nonparametric regression under adversarial attacks
by: Peng, Jingfu, et al.
Published: (2024)

Partial heteroscedastic deconvolution estimation in nonparametric regression
by: Thiam, Baba
Published: (2026)

Minimax optimal adaptive structured transfer learning through semi-parametric domain-varying coefficient model
by: Chen, Hanxiao, et al.
Published: (2026)

Inference for concave distribution functions under measurement error
by: Benjrada, Mohammed Es-Salih, et al.
Published: (2026)

Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation
by: Peng, Jingfu, et al.
Published: (2025)

Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
by: Ge, Jiawei, et al.
Published: (2024)

Phase Transition in Nonparametric Minimax Rates for Covariate Shifts on Approximate Manifolds
by: Wang, Yuyao, et al.
Published: (2025)

Finite sample rates for logistic regression with small noise or few samples
by: Kuchelmeister, Felix, et al.
Published: (2023)

Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
by: McGrath, Sean, et al.
Published: (2025)

On the effect of noise on fitting linear regression models
by: Ullah, Insha, et al.
Published: (2024)

Minimax optimal transfer learning for high-dimensional additive regression
by: Moon, Seung Hyun
Published: (2025)

Minimax convergence rates of a binary plug-in type classification procedure for time-homogeneous SDE paths under low-noise conditions
by: Ella-Mintsa, Eddy Michel
Published: (2026)

UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
by: Fan, Jianqing, et al.
Published: (2023)

On the estimation rate of Bayesian PINN for inverse problems
by: Sun, Yi, et al.
Published: (2024)

Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models
by: Lecoiu, Radu, et al.
Published: (2026)

On the rate of convergence of an over-parametrized deep neural network regression estimate learned by gradient descent
by: Kohler, Michael
Published: (2025)

Sparse free deconvolution under unknown noise level via eigenmatrix
by: Ying, Lexing
Published: (2025)

Optimal heteroskedasticity testing in nonparametric regression
by: Kotekal, Subhodh, et al.
Published: (2023)

Characterizing the minimax rate of nonparametric regression under bounded star-shaped constraints
by: Prasadan, Akshay, et al.
Published: (2024)

Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality
by: Chen, Hanxiao, et al.
Published: (2026)

Signal-to-noise ratio aware minimax analysis of sparse linear regression
by: Ghosh, Shubhangi, et al.
Published: (2025)

CLT in high-dimensional Bayesian linear regression with low SNR
by: Lee, Seunghyun, et al.
Published: (2025)

Optimal Cox regression under federated differential privacy: coefficients and cumulative hazards
by: Hung, Elly K. H., et al.
Published: (2025)

Marginal false discovery rates for penalized regression models
by: Breheny, Patrick
Published: (2016)

Transfer Learning on Edge Connecting Probability Estimation under Graphon Model
by: Wang, Yuyao, et al.
Published: (2025)

Harris recurrent Markov chains and nonlinear monotone cointegrated models
by: Bertail, Patrice, et al.
Published: (2024)

Quantile regression under dependent censoring with unknown association
by: D'Haen, Myrthe, et al.
Published: (2024)

Robust linear regression under latent group heterogeneity
by: Li, Xifeng, et al.
Published: (2026)

Linear regression with known noise distribution up to a scale: The reward of not using the OLSE
by: Balabdaoui, Fadoua, et al.
Published: (2025)

Heavy-tailed and Horseshoe priors for regression and sparse Besov rates
by: Agapiou, Sergios, et al.
Published: (2025)

Contraction rates for sparse variational approximations in Gaussian process regression
by: Nieman, Dennis, et al.
Published: (2021)

Minimax convergence rates of a binary classification procedure for time-homogeneous SDE paths
by: Mintsa, Eddy Michel Ella
Published: (2025)

A new approach to locally adaptive polynomial regression
by: Chatterjee, Sabyasachi, et al.
Published: (2024)

Multiplicative deconvolution under unknown error distribution
by: Miguel, Sergio Brenner, et al.
Published: (2023)

A Debiased Estimator for the Mediation Functional in Ultra-High-Dimensional Setting in the Presence of Interaction Effects
by: Bo, Shi, et al.
Published: (2024)

Optimal estimation for regression discontinuity design with binary outcomes
by: Ishihara, Takuya, et al.
Published: (2025)

Minimax rates of convergence for the nonparametric estimation of the diffusion coefficient from time-homogeneous SDE paths
by: Mintsa, Eddy Michel Ella
Published: (2025)

On the existence of the maximum likelihood estimate and convergence rate under gradient descent for multi-class logistic regression
by: Nwaigwe, Dwight, et al.
Published: (2020)

Distributional regression with reject option
by: Zaoui, Ahmed, 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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