v1v2 (latest)

Adaptive piecewise polynomial estimation via trend filtering

10 April 2013

Papers citing "Adaptive piecewise polynomial estimation via trend filtering"

50 / 79 papers shown

Title
Risk Bounds For Distributional Regression Carlos Misael Madrid Padilla Oscar Hernan Madrid Padilla S. Chatterjee 91 0 0 14 May 2025
Improving Random Forests by Smoothing Ziyi Liu Phuc Luong Mario Boley Daniel F. Schmidt UQCV 172 0 0 11 May 2025
Untangling Lariats: Subgradient Following of Variationally Penalized Objectives Kai-Chia Mo Shai Shalev-Shwartz Nisael Shártov 95 0 0 07 May 2024
Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps Zhaoyang Shi Krishnakumar Balasubramanian W. Polonik 74 1 0 22 Feb 2024
An adaptive functional regression framework for spatially heterogeneous signals in spectroscopy Federico Ferraccioli Alessandro Casa M. Stefanucci 20 0 0 13 Sep 2023
Stability and Generalization of lp-Regularized Stochastic Learning for GCN Shiyu Liu Linsen Wei Shaogao Lv Ming Li MLT 60 0 0 20 May 2023
The Voronoigram: Minimax Estimation of Bounded Variation Functions From Scattered Data Addison J. Hu Alden Green Robert Tibshirani 79 4 0 30 Dec 2022
CP-PINNs: Data-Driven Changepoints Detection in PDEs Using Online Optimized Physics-Informed Neural Networks Zhi-Ling Dong Pawel Polak PINN 74 1 0 18 Aug 2022
Variance estimation in graphs with the fused lasso Oscar Hernan Madrid Padilla 131 5 0 26 Jul 2022
Benchopt: Reproducible, efficient and collaborative optimization benchmarks Thomas Moreau Mathurin Massias Alexandre Gramfort Pierre Ablin Pierre-Antoine Bannier Benjamin Charlier ... Binh Duc Nguyen A. Rakotomamonjy Zaccharie Ramzi Joseph Salmon Samuel Vaiter 124 36 0 27 Jun 2022
Automatic differentiation of nonsmooth iterative algorithms Jérôme Bolte Edouard Pauwels Samuel Vaiter 104 23 0 31 May 2022
Second Order Path Variationals in Non-Stationary Online Learning Dheeraj Baby Yu Wang 103 5 0 04 May 2022
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive? Kaiqi Zhang Yu Wang 91 12 0 20 Apr 2022
Spatially Adaptive Online Prediction of Piecewise Regular Functions S. Chatterjee Subhajit Goswami OffRL 60 1 0 30 Mar 2022
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond Dheeraj Baby Yu Wang 95 28 0 21 Jan 2022
Multivariate Trend Filtering for Lattice Data Veeranjaneyulu Sadhanala Yu Wang Addison J. Hu Robert Tibshirani 53 7 0 29 Dec 2021
Data fission: splitting a single data point James Leiner Boyan Duan Larry A. Wasserman Aaditya Ramdas 85 37 0 21 Dec 2021
Graph Trend Filtering Networks for Recommendations Wenqi Fan Xiaorui Liu Wei Jin Xiangyu Zhao Jiliang Tang Qing Li 128 106 0 12 Aug 2021
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 142 109 0 05 Jul 2021
A Variational View on Statistical Multiscale Estimation Markus Haltmeier Housen Li Axel Munk 62 4 0 10 Jun 2021
Optimal Dynamic Regret in Exp-Concave Online Learning Dheeraj Baby Yu Wang 104 46 0 23 Apr 2021
Trend Filtering for Functional Data Tomoya Wakayama S. Sugasawa 31 8 0 06 Apr 2021
Tensor denoising with trend filtering Francesco Ortelli Sara van de Geer 61 5 0 26 Jan 2021
An Optimal Reduction of TV-Denoising to Adaptive Online Learning Dheeraj Baby Xuandong Zhao Yu Wang 82 12 0 23 Jan 2021
Multivariate Smoothing via the Fourier Integral Theorem and Fourier Kernel Nhat Ho S. Walker 58 9 0 28 Dec 2020
Non-parametric Quantile Regression via the K-NN Fused Lasso Steven Siwei Ye Oscar Hernan Madrid Padilla 37 13 0 03 Dec 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising Yao Ma Xiaorui Liu Tong Zhao Yozen Liu Jiliang Tang Neil Shah AI4CE 116 177 0 05 Oct 2020
Adaptive Online Estimation of Piecewise Polynomial Trends Dheeraj Baby Yu Wang 75 13 0 30 Sep 2020
Risk Bounds for Quantile Trend Filtering Oscar Hernan Madrid Padilla S. Chatterjee 48 22 0 15 Jul 2020
Lipschitz regularity of graph Laplacians on random data clouds Jeff Calder Nicolas García Trillos M. Lewicka 63 31 0 13 Jul 2020
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization Kaidi Cao Yining Chen Junwei Lu Nikos Arechiga Adrien Gaidon Tengyu Ma 91 68 0 29 Jun 2020
Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise Gaetano Romano G. Rigaill Vincent Runge Paul Fearnhead 80 31 0 04 May 2020
Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems Robert Tibshirani 43 19 0 09 Mar 2020
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing Ziqi Liu Dong Wang Qianyu Yu Qing Cui Yue Shen ... Leon Wenliang Zhong Jinjie Gu Jun Zhou Shuang Yang Yuan Qi OffRL 32 16 0 27 Feb 2020
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks Jing Gao Xiaomin Song Qingsong Wen Pichao Wang Liang Sun Huan Xu AI4TS 64 134 0 21 Feb 2020
Locally-Adaptive Nonparametric Online Learning Ilja Kuzborskij Nicolò Cesa-Bianchi 57 6 0 05 Feb 2020
Adaptive Estimation and Statistical Inference for High-Dimensional Graph-Based Linear Models Duzhe Wang Po-Ling Loh 26 1 0 29 Jan 2020
An empirical study of neural networks for trend detection in time series Alexandre Miot Gilles Drigout AI4TS 55 2 0 09 Dec 2019
Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees S. Chatterjee Subhajit Goswami 97 18 0 26 Nov 2019
Degrees of freedom for off-the-grid sparse estimation C. Poon Gabriel Peyré 37 3 0 08 Nov 2019
Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs Jeff Calder Nicolas García Trillos 101 40 0 29 Oct 2019
Hierarchical Total Variations and Doubly Penalized ANOVA Modeling for Multivariate Nonparametric Regression Ting Yang Zhiqiang Tan 45 2 0 16 Jun 2019
A Bayesian Model of Dose-Response for Cancer Drug Studies Wesley Tansey Christopher Tosh David M. Blei 21 0 0 10 Jun 2019
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering Qingsong Wen Jing Gao Xiaomin Song Liang Sun Jian Tan AI4TS 50 32 0 10 Jun 2019
Online Forecasting of Total-Variation-bounded Sequences Dheeraj Baby Yu Wang AI4TS 66 40 0 08 Jun 2019
Machine Learning and System Identification for Estimation in Physical Systems Fredrik Bagge Carlson OOD 49 5 0 05 Jun 2019
Vector-Valued Graph Trend Filtering with Non-Convex Penalties R. Varma Harlin Lee J. Kovacevic Yuejie Chi 90 33 0 29 May 2019
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates Adil Salim D. Kovalev Peter Richtárik 79 26 0 28 May 2019
Baseline Drift Estimation for Air Quality Data Using Quantile Trend Filtering H. Brantley J. Guinness Eric C. Chi 21 16 0 24 Apr 2019
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms Nhat Ho Tianyi Lin Michael I. Jordan 119 2 0 16 Apr 2019