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Proximal Algorithms in Statistics and Machine Learning

11 February 2015

Papers citing "Proximal Algorithms in Statistics and Machine Learning"

23 / 23 papers shown

Title
Measurement to Meaning: A Validity-Centered Framework for AI Evaluation Olawale Salaudeen Anka Reuel Ahmed M. Ahmed Suhana Bedi Zachary Robertson Siyang Song Ben Domingue Angelina Wang Sanmi Koyejo ELM 58 0 0 13 May 2025
Connecting NTK and NNGP: A Unified Theoretical Framework for Wide Neural Network Learning Dynamics Yehonatan Avidan Qianyi Li H. Sompolinsky 133 8 0 08 Sep 2023
Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image Denoising D. H. Thai Xiqi Fei M. T. Le Andreas Zufle K. Wessels 29 13 0 25 Aug 2022
Equivariant Hypergraph Diffusion Neural Operators Peihao Wang Shenghao Yang Yunyu Liu Zhangyang Wang Pan Li DiffM 98 35 0 14 Jul 2022
Bayesian Learning of Parameterised Quantum Circuits Samuel Duffield Marcello Benedetti Matthias Rosenkranz 55 11 0 15 Jun 2022
Robust online joint state/input/parameter estimation of linear systems Jean-Sébastien Brouillon Keith Moffat Florian Dorfler Giancarlo Ferrari-Trecate 51 4 0 12 Apr 2022
Bayesian Error-in-Variables Models for the Identification of Power Networks Jean-Sébastien Brouillon E. Fabbiani P. Nahata Keith Moffat Florian Dorfler Giancarlo Ferrari-Trecate 23 6 0 09 Jul 2021
Active-set algorithms based statistical inference for shape-restricted generalized additive Cox regression models Geng Deng Guangning Xu Qiang Fu Xindong Wang Jing Qin 44 1 0 29 Jun 2021
Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-Differentiable Priors Jacob Vorstrup Goldman Torben Sell Sumeetpal S. Singh 40 8 0 16 Mar 2021
Distributed Proximal Splitting Algorithms with Rates and Acceleration Laurent Condat Grigory Malinovsky Peter Richtárik 58 21 0 02 Oct 2020
Additive stacking for disaggregate electricity demand forecasting Christian Capezza B. Palumbo Y. Goude S. Wood Matteo Fasiolo AI4TS 71 7 0 20 May 2020
GENO -- GENeric Optimization for Classical Machine Learning Soren Laue Matthias Mitterreiter Joachim Giesen AI4CE 42 18 0 31 May 2019
Online Learning over Dynamic Graphs via Distributed Proximal Gradient Algorithm Rishabh Dixit Amrit Singh Bedi K. Rajawat 48 32 0 16 May 2019
A Distributed Method for Fitting Laplacian Regularized Stratified Models Jonathan Tuck Shane T. Barratt Stephen P. Boyd 60 24 0 26 Apr 2019
Fast Non-Bayesian Poisson Factorization for Implicit-Feedback Recommendations David Cortes 56 1 0 05 Nov 2018
Sparse Group Inductive Matrix Completion Ivan Nazarov B. Shirokikh M. Burkina G. Fedonin Maxim Panov 70 10 0 27 Apr 2018
Rendition: Reclaiming what a black box takes away P. Milanfar 56 12 0 23 Apr 2018
Generalized Linear Model Regression under Distance-to-set Penalties Jason Xu Eric C. Chi K. Lange 109 36 0 03 Nov 2017
Sparse Regularization in Marketing and Economics Guanhao Feng Nicholas G. Polson Yuexi Wang Jianeng Xu 59 1 0 01 Sep 2017
Deep Learning: A Bayesian Perspective Nicholas G. Polson Vadim Sokolov BDL 109 117 0 01 Jun 2017
Bayesian $l_0$ -regularized Least Squares Nicholas G. Polson Lei Sun 135 21 0 31 May 2017
Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets Moreau Alain Durmus Eric Moulines Marcelo Pereyra 88 176 0 22 Dec 2016
Deep Learning in Finance J. B. Heaton Nicholas G. Polson J. Witte 80 168 0 21 Feb 2016