JMLR - arXivDaily 期刊&会议

2104.06763 2022-10-28 math.OC cs.LG

Oracle Complexity in Nonsmooth Nonconvex Optimization

Guy Kornowski, Ohad Shamir

Comments Accepted to Journal of Machine Learning Research (JMLR); some minor edits following reviews

1809.09910 2022-10-20 cs.LG stat.ML

Generalization Properties of hyper-RKHS and its Applications

Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens

Comments Published on JMLR

2105.11818 2022-10-18 stat.ML cs.LG

SGD with Coordinate Sampling: Theory and Practice

Rémi Leluc, François Portier

Comments Journal of Machine Learning Research 2022

2105.03109 2022-10-12 cs.LG stat.ML

Laplace Matching for fast Approximate Inference in Latent Gaussian Models

Marius Hobbhahn, Philipp Hennig

Comments Added experiments and clarifications; Currently under review at JMLR

2210.04023 2022-10-11 cs.LG

Multi-Task Dynamical Systems

Alex Bird, Christopher K. I. Williams, Christopher Hawthorne

Comments 52 pages, 17 figures

Journal ref Journal of Machine Learning Research 23 (2022)

2107.02397 2022-10-10 cs.LG stat.ML

Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons

Zuowei Shen, Haizhao Yang, Shijun Zhang

Journal ref Journal of Machine Learning Research, Volume 23, Issue 276, September 2022, Pages 1--60

2104.03220 2022-10-06 stat.ML cs.LG econ.EM

DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python

Philipp Bach, Victor Chernozhukov, Malte S. Kurz, Martin Spindler

Comments 6 pages, 2 figures

Journal ref Journal of Machine Learning Research 23 (53), 2022, 1-6

2007.04074 2022-10-05 cs.LG stat.ML

Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter

Comments Final version as published at JMLR 23(261)

Journal ref Journal of Machine Learning Research 23(261), 2022

2109.13055 2022-10-04 stat.ML cs.LG stat.CO

Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling

Keru Wu, Scott Schmidler, Yuansi Chen

Comments 63 pages, 2 figures

Journal ref Journal of Machine Learning Research, Vol. 23, No. 270, pp. 1-63 (2022)

2010.02637 2022-10-04 cs.LG cs.AI stat.ML

Weakly Supervised Disentangled Generative Causal Representation Learning

Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang

Journal ref Journal of Machine Learning Research 23(241): 1-55, 2022

1911.10454 2022-10-04 stat.ML cs.LG

Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data

Davoud Ataee Tarzanagh, George Michailidis

Comments 49 pages, 4 figures

Journal ref Journal of Machine Learning Research 23 (2022)

1911.02161 2022-10-04 cs.LG stat.ML

Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation

Chuyang Ke, Jean Honorio

Journal ref Journal of Machine Learning Research (JMLR), 23(284): pp. 1-28, 2022

2206.11128 2022-09-22 cs.LG cs.MS

tntorch: Tensor Network Learning with PyTorch

Mikhail Usvyatsov, Rafael Ballester-Ripoll, Konrad Schindler

Journal ref JMLR (2022) 23-208

2012.14804 2022-09-20 stat.ME

Kernel Partial Correlation Coefficient -- a Measure of Conditional Dependence

Zhen Huang, Nabarun Deb, Bodhisattva Sen

Comments 63 pages, 4 figures, 9 tables

Journal ref Journal of Machine Learning Research 23 (216), 1-58 (2022)

2001.02856 2022-09-19 stat.ML cs.LG

D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data

Hai Shu, Zhe Qu, Hongtu Zhu

Comments The publisher's version is available at https://www.jmlr.org/papers/v23/20-021.html

Journal ref Journal of Machine Learning Research, 23(169):1-64, 2022

1911.00569 2022-09-19 cs.LG stat.ML

Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables

Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

Comments Accepted at JMLR 2022. Previously accepted at ICML's Uncertainty and Robustness in Deep Learning Workshop 2019

Journal ref Journal of Machine Learning Research 23 (2022) 1-54

1810.10971 2022-09-16 math.ST math.PR stat.ML stat.TH

Signature moments to characterize laws of stochastic processes

Ilya Chevyrev, Harald Oberhauser

Comments 42 pages. Restructured the text, changed experiments in final section. To appear in Journal of Machine Learning Research

Journal ref Journal of Machine Learning Research, 23(176):1-42, 2022

2108.11489 2022-09-13 stat.ML cs.LG math.ST stat.TH

The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks

Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett

Comments Accepted for publication at JMLR

2203.05142 2022-09-07 cs.LG cs.NA math.NA

IAE-Net: Integral Autoencoders for Discretization-Invariant Learning

Yong Zheng Ong, Zuowei Shen, Haizhao Yang

Comments submitted to JMLR. revised version following review results

2201.02539 2022-09-02 stat.ME stat.ML

A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review

Michael Pearce, Elena A. Erosheva

Comments 36 pages, 8 figures

Journal ref JMLR 23(210): 1-33, 2022

2208.10025 2022-08-23 cs.LG cs.DS math.OC

Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization

Zhize Li, Jian Li

Comments 60 pages. To appear in JMLR. arXiv admin note: text overlap with arXiv:1904.09265

2103.13796 2022-08-23 cs.LG stat.ML

Active Structure Learning of Bayesian Networks in an Observational Setting

Noa Ben-David, Sivan Sabato

Journal ref Journal of Machine Learning Research, 23(188):1--38, 2022

2111.13507 2022-08-16 stat.ML cs.LG

Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features

Lars Henry Berge Olsen, Ingrid Kristine Glad, Martin Jullum, Kjersti Aas

Journal ref Journal of Machine Learning Research 23 (2022) 1-51

2105.04319 2022-08-16 cs.LG cs.NA math.NA math.OC

A Bregman Learning Framework for Sparse Neural Networks

Leon Bungert, Tim Roith, Daniel Tenbrinck, Martin Burger

Comments 43 pages, 5 figures, some minor modifications, weakened assumptions

Journal ref Journal of Machine Learning Research, 23(192), 1-43, 2022

2208.01220 2022-08-12 stat.ML cs.LG eess.SP

GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction

Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao

Comments 26 pages, Figure 13, Machine Learning for Healthcare 2022

Journal ref Machine Learning for Healthcare 2022, JMLR Volume 182

2208.05333 2022-08-11 stat.ML cs.IT cs.LG math.IT physics.comp-ph stat.CO

Mappings for Marginal Probabilities with Applications to Models in Statistical Physics

Mehdi Molkaraie

Comments 36 pages

Journal ref The Journal of Machine Learning Research (JMLR), August 2022

2101.09530 2022-08-09 cs.NE

A Primer for Neural Arithmetic Logic Modules

Bhumika Mistry, Katayoun Farrahi, Jonathon Hare

Comments JMLR Accepted Version, 58 pages

Journal ref Journal of Machine Learning Research 23 (2022) 1-58

2101.05471 2022-08-09 cs.LG cs.DC math.OC

Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration

Congliang Chen, Li Shen, Fangyu Zou, Wei Liu

Comments Accepted to JMLR(JMLR). arXiv admin note: substantial text overlap with arXiv:1811.09358

2204.12789 2022-08-05 math.NA cs.LG cs.NA math.AP

Learning Green's functions associated with time-dependent partial differential equations

Nicolas Boullé, Seick Kim, Tianyi Shi, Alex Townsend

Comments 34 pages, 3 figures

Journal ref Journal of Machine Learning Research 23 (2022) 1-34

2108.01988 2022-08-05 cs.LG cs.AI stat.ML

Sparse Continuous Distributions and Fenchel-Young Losses

André F. T. Martins, Marcos Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae

Comments JMLR 2022 camera ready version. arXiv admin note: text overlap with arXiv:2006.07214