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Non-Stationary Stochastic Processes Estimation: Vector Stationary Increments, Periodically Stationary Multi-Seasonal Increments

1, 2024

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A special issue dedicated to the Autumn school on equilibrium problems and minimax inequalities, ASEM19, 25-26 September 2019, El Jadida, Morocco

Optimization, 2022-05, Vol.71 (5), p.1249-1252

2022

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Robust Optimization for Transmission Expansion Planning: Minimax Cost vs. Minimax Regret

IEEE transactions on power systems, 2014-11, Vol.29 (6), p.3069-3077

2014

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Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising

IEEE transactions on information theory, 2013-06, Vol.59 (6), p.3396-3433

2013

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Robust Kalman Filtering Under Model Perturbations

IEEE transactions on automatic control, 2017-06, Vol.62 (6), p.2902-2907

Zorzi, Mattia

2017

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Cooperative-Competitive Multiagent Systems for Distributed Minimax Optimization Subject to Bounded Constraints

IEEE transactions on automatic control, 2019-04, Vol.64 (4), p.1358-1372

2019

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Learning models with uniform performance via distributionally robust optimization

The Annals of statistics, 2021-06, Vol.49 (3), p.1378

2021

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NONPARAMETRIC REGRESSION USING DEEP NEURAL NETWORKS WITH RELU ACTIVATION FUNCTION

The Annals of statistics, 2020-08, Vol.48 (4), p.1875-1897

Schmidt-Hieber, Johannes

2020

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Optimal Schemes for Discrete Distribution Estimation Under Locally Differential Privacy

IEEE transactions on information theory, 2018-08, Vol.64 (8), p.5662-5676

2018

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COMMUNITY DETECTION IN DEGREE-CORRECTED BLOCK MODELS

The Annals of statistics, 2018-10, Vol.46 (5), p.2153-2185

2018

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PERIODIC SOLUTIONS FOR AN ORDINARYP-LAPLACIAN SYSTEM

Taiwanese journal of mathematics, 2011-06, Vol.15 (3), p.1369-1396

2011

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Adaptive transfer learning

The Annals of statistics, 2021-12, Vol.49 (6), p.3618

2021

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VARIABLE SELECTION WITH HAMMING LOSS

The Annals of statistics, 2018-10, Vol.46 (5), p.1837-1875

2018

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Minimax Optimal Procedures for Locally Private Estimation

Journal of the American Statistical Association, 2018-01, Vol.113 (521), p.182-201

2018

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SLOPE MEETS LASSO: IMPROVED ORACLE BOUNDS AND OPTIMALITY

The Annals of statistics, 2018-12, Vol.46 (6B), p.3603-3642

2018

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ROBUST COVARIANCE AND SCATTER MATRIX ESTIMATION UNDER HUBER’S CONTAMINATION MODEL

The Annals of statistics, 2018-10, Vol.46 (5), p.1932-1960

2018

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Transfer learning for nonparametric classification: Minimax rate and adaptive classifier

The Annals of statistics, 2021-02, Vol.49 (1), p.100

2021

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NONASYMPTOTIC RATES FOR MANIFOLD, TANGENT SPACE AND CURVATURE ESTIMATION

The Annals of statistics, 2019-02, Vol.47 (1), p.177-204

2019

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Tensor SVD: Statistical and Computational Limits

IEEE transactions on information theory, 2018-11, Vol.64 (11), p.7311-7338

2018

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Nonconvex Sparse Regularization and Convex Optimization for Bearing Fault Diagnosis

IEEE transactions on industrial electronics (1982), 2018-09, Vol.65 (9), p.7332-7342

2018

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Modulus Constrained Minimax Radar Code Design Against Target Interpulse Fluctuation

IEEE transactions on vehicular technology, 2023-10, Vol.72 (10), p.1-6

2023

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Discrete Box-Constrained Minimax Classifier for Uncertain and Imbalanced Class Proportions

IEEE transactions on pattern analysis and machine intelligence, 2022-06, Vol.44 (6), p.2923-2937

2022

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Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization

IEEE transaction on neural networks and learning systems, 2021-07, Vol.32 (7), p.2825-2836

2021

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OPTIMAL RATES OF CONVERGENCE FOR NOISY SPARSE PHASE RETRIEVAL VIA THRESHOLDED WIRTINGER FLOW

The Annals of statistics, 2016-10, Vol.44 (5), p.2221-2251

2016

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A randomized sparse Kaczmarz solver for sparse signal recovery via minimax‐concave penalty

Mathematical methods in the applied sciences, 2024-05, Vol.47 (7), p.6431-6445

2024

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Non-Stationary Stochastic Processes Estimation: Vector Stationary Increments, Periodically Stationary Multi-Seasonal Increments

A special issue dedicated to the Autumn school on equilibrium problems and minimax inequalities, ASEM19, 25-26 September 2019, El Jadida, Morocco

Robust Optimization for Transmission Expansion Planning: Minimax Cost vs. Minimax Regret

Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising

Robust Kalman Filtering Under Model Perturbations

Cooperative-Competitive Multiagent Systems for Distributed Minimax Optimization Subject to Bounded Constraints

Learning models with uniform performance via distributionally robust optimization

NONPARAMETRIC REGRESSION USING DEEP NEURAL NETWORKS WITH RELU ACTIVATION FUNCTION

Optimal Schemes for Discrete Distribution Estimation Under Locally Differential Privacy

COMMUNITY DETECTION IN DEGREE-CORRECTED BLOCK MODELS

PERIODIC SOLUTIONS FOR AN ORDINARYP-LAPLACIAN SYSTEM

Adaptive transfer learning

VARIABLE SELECTION WITH HAMMING LOSS

Minimax Optimal Procedures for Locally Private Estimation

SLOPE MEETS LASSO: IMPROVED ORACLE BOUNDS AND OPTIMALITY

ROBUST COVARIANCE AND SCATTER MATRIX ESTIMATION UNDER HUBER’S CONTAMINATION MODEL

Transfer learning for nonparametric classification: Minimax rate and adaptive classifier

NONASYMPTOTIC RATES FOR MANIFOLD, TANGENT SPACE AND CURVATURE ESTIMATION

Tensor SVD: Statistical and Computational Limits

Nonconvex Sparse Regularization and Convex Optimization for Bearing Fault Diagnosis

Modulus Constrained Minimax Radar Code Design Against Target Interpulse Fluctuation

Discrete Box-Constrained Minimax Classifier for Uncertain and Imbalanced Class Proportions

Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization

OPTIMAL RATES OF CONVERGENCE FOR NOISY SPARSE PHASE RETRIEVAL VIA THRESHOLDED WIRTINGER FLOW

A randomized sparse Kaczmarz solver for sparse signal recovery via minimax‐concave penalty

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