default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMatthew J. Holland
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2023
[j5]Matthew J. Holland, Kazuki Tanabe:
A Survey of Learning Criteria Going Beyond the Usual Risk. J. Artif. Intell. Res. 78: 781-821 (2023)- 2022
- [j4]Matthew J. Holland
:
Learning with risks based on M-location. Mach. Learn. 111(12): 4679-4718 (2022) - 2019
- [j3]Matthew J. Holland, Kazushi Ikeda:
Efficient learning with robust gradient descent. Mach. Learn. 108(8-9): 1523-1560 (2019) - 2017
- [j2]Matthew J. Holland, Kazushi Ikeda:
Robust regression using biased objectives. Mach. Learn. 106(9-10): 1643-1679 (2017) - 2016
- [j1]Matthew J. Holland, Kazushi Ikeda:
Minimum Proper Loss Estimators for Parametric Models. IEEE Trans. Signal Process. 64(3): 704-713 (2016)
Conference and Workshop Papers
- 2024
- [c15]Matthew J. Holland, Kazuki Tanabe:
A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint). AAAI 2024: 22698 - [c14]Matthew J. Holland:
Robust variance-regularized risk minimization with concomitant scaling. AISTATS 2024: 1144-1152 - [c13]Matthew J. Holland:
Criterion Collapse and Loss Distribution Control. ICML 2024 - [c12]Matthew J. Holland, Kosuke Nakatani:
Soft ascent-descent as a stable and flexible alternative to flooding. NeurIPS 2024 - 2023
- [c11]Matthew J. Holland:
Flexible risk design using bi-directional dispersion. AISTATS 2023: 1586-1623 - 2022
- [c10]Matthew J. Holland:
Anytime Guarantees under Heavy-Tailed Data. AAAI 2022: 6918-6925 - [c9]Matthew J. Holland, El Mehdi Haress:
Spectral risk-based learning using unbounded losses. AISTATS 2022: 1871-1886 - 2021
- [c8]Matthew J. Holland:
Scaling-Up Robust Gradient Descent Techniques. AAAI 2021: 7694-7701 - [c7]Matthew J. Holland, El Mehdi Haress:
Learning with risk-averse feedback under potentially heavy tails. AISTATS 2021: 892-900 - 2019
- [c6]Matthew J. Holland:
Robust descent using smoothed multiplicative noise. AISTATS 2019: 703-711 - [c5]Matthew J. Holland:
Classification using margin pursuit. AISTATS 2019: 712-720 - [c4]Matthew J. Holland, Kazushi Ikeda:
Better generalization with less data using robust gradient descent. ICML 2019: 2761-2770 - [c3]Matthew J. Holland:
PAC-Bayes under potentially heavy tails. NeurIPS 2019: 2711-2720 - 2015
- [c2]Matthew J. Holland, Kazushi Ikeda:
Location robust estimation of predictive Weibull parameters in short-term wind speed forecasting. ICASSP 2015: 3996-4000 - 2014
- [c1]Matthew J. Holland, Kazushi Ikeda:
Forecasting in wind energy applications with site-adaptive Weibull estimation. ICASSP 2014: 2184-2188
Informal and Other Publications
- 2024
- [i15]Matthew J. Holland:
Criterion collapse and loss distribution control. CoRR abs/2402.09802 (2024) - [i14]Matthew J. Holland, Toma Hamada:
Making Robust Generalizers Less Rigid with Soft Ascent-Descent. CoRR abs/2408.03619 (2024) - 2023
- [i13]Matthew J. Holland:
Robust variance-regularized risk minimization with concomitant scaling. CoRR abs/2301.11584 (2023) - [i12]Matthew J. Holland, Kosuke Nakatani:
Implicit regularization via soft ascent-descent. CoRR abs/2310.10006 (2023) - 2022
- [i11]Matthew J. Holland:
Risk regularization through bidirectional dispersion. CoRR abs/2203.14434 (2022) - 2021
- [i10]Matthew J. Holland, El Mehdi Haress:
Spectral risk-based learning using unbounded losses. CoRR abs/2105.04816 (2021) - [i9]Matthew J. Holland:
Robust learning with anytime-guaranteed feedback. CoRR abs/2105.11135 (2021) - [i8]Matthew J. Holland:
Designing off-sample performance metrics. CoRR abs/2110.04996 (2021) - 2020
- [i7]Matthew J. Holland, El Mehdi Haress:
Learning with CVaR-based feedback under potentially heavy tails. CoRR abs/2006.02001 (2020) - [i6]Matthew J. Holland:
Making learning more transparent using conformalized performance prediction. CoRR abs/2007.04486 (2020) - [i5]Matthew J. Holland:
Non-monotone risk functions for learning. CoRR abs/2012.02424 (2020) - [i4]Matthew J. Holland:
Better scalability under potentially heavy-tailed feedback. CoRR abs/2012.07346 (2020) - 2019
- [i3]Matthew J. Holland:
PAC-Bayes under potentially heavy tails. CoRR abs/1905.07900 (2019) - 2018
- [i2]Matthew J. Holland:
Classification using margin pursuit. CoRR abs/1810.04863 (2018) - [i1]Matthew J. Holland:
Robust descent using smoothed multiplicative noise. CoRR abs/1810.06207 (2018)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-15 00:20 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
