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On risk bounds in isotonic and other shape restricted regression problems

15 November 2013

S. Chatterjee

Adityanand Guntuboyina

B. Sen

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Papers citing "On risk bounds in isotonic and other shape restricted regression problems"

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Title
Practical estimation of the optimal classification error with soft labels and calibration Ryota Ushio Takashi Ishida Masashi Sugiyama 19 0 0 27 May 2025
Risk Bounds For Distributional Regression Carlos Misael Madrid Padilla Oscar Hernan Madrid Padilla S. Chatterjee 110 0 0 14 May 2025
Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization Kevin Li Eric Laber 88 0 0 13 Mar 2025
Early-Stopped Mirror Descent for Linear Regression over Convex Bodies Tobias Wegel Gil Kur Patrick Rebeschini 92 0 0 05 Mar 2025
High-probability minimax lower bounds Tianyi Ma K. A. Verchand R. Samworth 96 1 0 19 Jun 2024
Optimal Confidence Bands for Shape-restricted Regression in Multidimensions Ashley Datta Datta Somabha Mukherjee Bodhisattva Sen 75 0 0 23 Jan 2024
Bayesian Inference for Multivariate Monotone Densities Kang-Kang Wang S. Ghosal 60 1 0 08 Jun 2023
Isotonic subgroup selection Manuel M. Muller Henry W. J. Reeve T. Cannings R. Samworth 108 5 0 08 May 2023
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression Guohao Shen Yuling Jiao Yuanyuan Lin Jian Huang 127 3 0 01 May 2023
Learning linear dynamical systems under convex constraints Hemant Tyagi D. Efimov 44 2 0 27 Mar 2023
Coverage of Credible Intervals in Bayesian Multivariate Isotonic Regression Kangkang Wang S. Ghosal 89 7 0 22 Nov 2022
Adversarial Sign-Corrupted Isotonic Regression Shamindra Shrotriya Matey Neykov 57 0 0 14 Jul 2022
Noisy linear inverse problems under convex constraints: Exact risk asymptotics in high dimensions Q. Han 69 3 0 20 Jan 2022
Regret Minimization in Isotonic, Heavy-Tailed Contextual Bandits via Adaptive Confidence Bands S. Chatterjee Subhabrata Sen OffRL 33 5 0 19 Oct 2021
Piecewise monotone estimation in one-parameter exponential family Takeru Matsuda Yuto Miyatake 83 1 0 30 Aug 2021
Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model Yue Gao Garvesh Raskutti 149 2 0 28 Jun 2021
A new computational framework for log-concave density estimation Wenyu Chen Rahul Mazumder R. Samworth 63 5 0 24 May 2021
Convergence guarantee for the sparse monotone single index model Ran Dai Hyebin Song Rina Foygel Barber Garvesh Raskutti 73 3 0 17 May 2021
A review on minimax rates in change point detection and localisation Yi Yu 58 19 0 03 Nov 2020
High dimensional asymptotics of likelihood ratio tests in the Gaussian sequence model under convex constraints Q. Han B. Sen Yandi Shen 81 3 0 07 Oct 2020
Suboptimality of Constrained Least Squares and Improvements via Non-Linear Predictors Tomas Vaskevicius Nikita Zhivotovskiy 59 14 0 19 Sep 2020
Isotonic regression with unknown permutations: Statistics, computation, and adaptation A. Pananjady R. Samworth 55 25 0 05 Sep 2020
Risk Bounds for Quantile Trend Filtering Oscar Hernan Madrid Padilla S. Chatterjee 88 22 0 15 Jul 2020
Unlinked monotone regression F. Balabdaoui Charles R. Doss C. Durot 76 11 0 02 Jul 2020
Inference for local parameters in convexity constrained models Hang Deng Q. Han B. Sen 52 8 0 18 Jun 2020
Minimax Estimation of Conditional Moment Models Nishanth Dikkala Greg Lewis Lester W. Mackey Vasilis Syrgkanis 222 103 0 12 Jun 2020
Convex Regression in Multidimensions: Suboptimality of Least Squares Estimators Gil Kur Fuchang Gao Adityanand Guntuboyina B. Sen 52 14 0 03 Jun 2020
Hard Shape-Constrained Kernel Machines Pierre-Cyril Aubin-Frankowski Z. Szabó 62 22 0 26 May 2020
Model Repair: Robust Recovery of Over-Parameterized Statistical Models Chao Gao John D. Lafferty 44 6 0 20 May 2020
On a phase transition in general order spline regression Yandi Shen Q. Han Fang Han 78 5 0 23 Apr 2020
Predicting Online Item-choice Behavior: A Shape-restricted Regression Perspective Naoki Nishimura Noriyoshi Sukegawa Yuichi Takano J. Iwanaga 45 1 0 18 Apr 2020
Efficient Algorithms for Multidimensional Segmented Regression Ilias Diakonikolas Jerry Li Anastasia Voloshinov 40 5 0 24 Mar 2020
Least Squares Estimation of a Quasiconvex Regression Function Somabha Mukherjee Rohit Patra Andrew L. Johnson Hiroshi Morita 130 3 0 09 Mar 2020
Local continuity of log-concave projection, with applications to estimation under model misspecification Rina Foygel Barber R. Samworth 86 6 0 14 Feb 2020
Confidence intervals for multiple isotonic regression and other monotone models Hang Deng Q. Han Cun-Hui Zhang 84 15 0 20 Jan 2020
Optimal Estimation of Bacterial Growth Rates Based on Permuted Monotone Matrix Rong Ma T. Tony Cai Hongzhe Li 49 3 0 28 Nov 2019
Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees S. Chatterjee Subhajit Goswami 127 18 0 26 Nov 2019
Optimal Permutation Recovery in Permuted Monotone Matrix Model Rong Ma T. Tony Cai Hongzhe Li 61 25 0 24 Nov 2019
On Least Squares Estimation under Heteroscedastic and Heavy-Tailed Errors Arun K. Kuchibhotla Rohit Patra 94 11 0 04 Sep 2019
The bias of isotonic regression Ran Dai Hyebin Song Rina Foygel Barber Garvesh Raskutti 60 6 0 13 Aug 2019
Limit distribution theory for block estimators in multiple isotonic regression Q. Han Cun-Hui Zhang 86 13 0 30 May 2019
Estimating Piecewise Monotone Signals Kentaro Minami 62 10 0 06 May 2019
General framework for projection structures E. Belitser N. Nurushev 69 1 0 31 Mar 2019
Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation Billy Fang Adityanand Guntuboyina B. Sen 96 32 0 04 Mar 2019
Element-wise estimation error of a total variation regularized estimator for change point detection Teng Zhang 63 4 0 03 Jan 2019
Adaptation in multivariate log-concave density estimation Oliver Y. Feng Adityanand Guntuboyina Arlene K. H. Kim R. Samworth 91 13 0 30 Dec 2018
Isotonic Regression in Multi-Dimensional Spaces and Graphs Hang Deng Cun-Hui Zhang 146 23 0 21 Dec 2018
Discrete minimax estimation with trees Luc Devroye Tommy Reddad 26 2 0 14 Dec 2018
Nonparametric Bayesian analysis of the compound Poisson prior for support boundary recovery M. Reiß Johannes Schmidt-Hieber 74 7 0 11 Sep 2018
Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information Yichong Xu Sivaraman Balakrishnan Aarti Singh A. Dubrawski 46 5 0 08 Jun 2018