![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
Ofer Meshi
Person information
Refine list
![note](https://dblp1.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c21]Chih-Wei Hsu
, Martin Mladenov
, Ofer Meshi
, James Pine
, Hubert Pham
, Shane Li
, Xujian Liang
, Anton Polishko
, Li Yang
, Ben Scheetz
, Craig Boutilier
:
Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies. SIGIR 2024: 2925-2929 - 2023
- [c20]Javad Azizi, Ofer Meshi, Masrour Zoghi, Maryam Karimzadehgan:
Overcoming Prior Misspecification in Online Learning to Rank. AISTATS 2023: 594-614 - [i13]Javad Azizi, Ofer Meshi, Masrour Zoghi, Maryam Karimzadehgan:
Overcoming Prior Misspecification in Online Learning to Rank. CoRR abs/2301.10651 (2023) - [i12]Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu, Craig Boutilier, Maryam Karimzadehgan:
Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval. CoRR abs/2310.20091 (2023) - 2022
- [c19]Branislav Kveton, Ofer Meshi, Masrour Zoghi, Zhen Qin:
On the Value of Prior in Online Learning to Rank. AISTATS 2022: 6880-6892
2010 – 2019
- 2019
- [j3]Ofer Meshi, Ben London, Adrian Weller, David A. Sontag:
Train and Test Tightness of LP Relaxations in Structured Prediction. J. Mach. Learn. Res. 20: 13:1-13:34 (2019) - [c18]Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier:
Advantage Amplification in Slowly Evolving Latent-State Environments. IJCAI 2019: 3165-3172 - [i11]Chih-Wei Hsu, Branislav Kveton, Ofer Meshi, Martin Mladenov, Csaba Szepesvári:
Empirical Bayes Regret Minimization. CoRR abs/1904.02664 (2019) - [i10]Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier:
Advantage Amplification in Slowly Evolving Latent-State Environments. CoRR abs/1905.13559 (2019) - 2018
- [c17]Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans:
Planning and Learning with Stochastic Action Sets. IJCAI 2018: 4674-4682 - [c16]Colin Graber, Ofer Meshi, Alexander G. Schwing:
Deep Structured Prediction with Nonlinear Output Transformations. NeurIPS 2018: 6323-6334 - [i9]Craig Boutilier, Alon Cohen, Amit Daniely, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans:
Planning and Learning with Stochastic Action Sets. CoRR abs/1805.02363 (2018) - [i8]Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi:
Seq2Slate: Re-ranking and Slate Optimization with RNNs. CoRR abs/1810.02019 (2018) - [i7]Colin Graber, Ofer Meshi, Alexander G. Schwing:
Deep Structured Prediction with Nonlinear Output Transformations. CoRR abs/1811.00539 (2018) - 2017
- [c15]Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu:
Logistic Markov Decision Processes. IJCAI 2017: 2486-2493 - [c14]Ofer Meshi, Alexander G. Schwing:
Asynchronous Parallel Coordinate Minimization for MAP Inference. NIPS 2017: 5734-5744 - 2016
- [c13]Heejin Choi, Ofer Meshi, Nathan Srebro:
Fast and Scalable Structural SVM with Slack Rescaling. AISTATS 2016: 667-675 - [c12]Ofer Meshi, Mehrdad Mahdavi, Adrian Weller, David A. Sontag:
Train and Test Tightness of LP Relaxations in Structured Prediction. ICML 2016: 1776-1785 - [c11]Dan Garber, Ofer Meshi:
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes. NIPS 2016: 1001-1009 - [i6]Dan Garber, Ofer Meshi:
Linear-memory and Decomposition-invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes. CoRR abs/1605.06492 (2016) - 2015
- [c10]Ofer Meshi, Nathan Srebro, Tamir Hazan:
Efficient Training of Structured SVMs via Soft Constraints. AISTATS 2015 - [c9]Ofer Meshi, Mehrdad Mahdavi, Alexander G. Schwing:
Smooth and Strong: MAP Inference with Linear Convergence. NIPS 2015: 298-306 - [i5]Heejin Choi, Ofer Meshi, Nathan Srebro:
Fast and Scalable Structural SVM with Slack Rescaling. CoRR abs/1510.06002 (2015) - [i4]Ofer Meshi, Mehrdad Mahdavi, David A. Sontag:
On the Tightness of LP Relaxations for Structured Prediction. CoRR abs/1511.01419 (2015) - 2014
- [c8]Nir Rosenfeld, Ofer Meshi, Daniel Tarlow, Amir Globerson:
Learning Structured Models with the AUC Loss and Its Generalizations. AISTATS 2014: 841-849 - 2013
- [b1]Ofer Meshi:
Efficient methods for learning and inference in structured output prediction (עם תקציר בעברית ושער נוסף: שיטות יעילות ללמידה והסקה בבעיות חיזוי מובנה.). Hebrew University of Jerusalem, Israel, 2013 - [c7]Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson:
Learning Max-Margin Tree Predictors. UAI 2013 - [i3]Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson:
Learning Max-Margin Tree Predictors. CoRR abs/1309.6847 (2013) - 2012
- [c6]Ofer Meshi, Tommi S. Jaakkola, Amir Globerson:
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms. NIPS 2012: 3023-3031 - [i2]Ofer Meshi, Ariel Jaimovich, Amir Globerson, Nir Friedman:
Convexifying the Bethe Free Energy. CoRR abs/1205.2624 (2012) - [i1]Ariel Jaimovich, Ofer Meshi, Nir Friedman:
Template Based Inference in Symmetric Relational Markov Random Fields. CoRR abs/1206.5276 (2012) - 2011
- [c5]Ofer Meshi, Amir Globerson:
An Alternating Direction Method for Dual MAP LP Relaxation. ECML/PKDD (2) 2011: 470-483 - 2010
- [j2]Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elidan:
FastInf: An Efficient Approximate Inference Library. J. Mach. Learn. Res. 11: 1733-1736 (2010) - [c4]Ofer Meshi, David A. Sontag, Tommi S. Jaakkola, Amir Globerson:
Learning Efficiently with Approximate Inference via Dual Losses. ICML 2010: 783-790 - [c3]David A. Sontag, Ofer Meshi, Tommi S. Jaakkola, Amir Globerson:
More data means less inference: A pseudo-max approach to structured learning. NIPS 2010: 2181-2189
2000 – 2009
- 2009
- [c2]Ofer Meshi, Ariel Jaimovich, Amir Globerson, Nir Friedman:
Convexifying the Bethe Free Energy. UAI 2009: 402-410 - 2007
- [j1]Ofer Meshi, Tomer Shlomi, Eytan Ruppin:
Evolutionary conservation and over-representation of functionally enriched network patterns in the yeast regulatory network. BMC Syst. Biol. 1: 1 (2007) - [c1]Ariel Jaimovich, Ofer Meshi, Nir Friedman:
Template Based Inference in Symmetric Relational Markov Random Fields. UAI 2007: 191-199
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
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 2024-08-14 23:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint