default search action
Michal Moshkovitz
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j1]Chhavi Yadav, Michal Moshkovitz, Kamalika Chaudhuri:
XAudit : A Learning-Theoretic Look at Auditing with Explanations. Trans. Mach. Learn. Res. 2024 (2024) - [c15]Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler:
Principal-Agent Reward Shaping in MDPs. AAAI 2024: 9502-9510 - [c14]Nave Frost, Zachary C. Lipton, Yishay Mansour, Michal Moshkovitz:
Partially Interpretable Models with Guarantees on Coverage and Accuracy. ALT 2024: 590-613 - [i22]Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler:
Principal-Agent Reward Shaping in MDPs. CoRR abs/2401.00298 (2024) - [i21]Zhili Feng, Michal Moshkovitz, Dotan Di Castro, J. Zico Kolter:
An Axiomatic Approach to Model-Agnostic Concept Explanations. CoRR abs/2401.06890 (2024) - [i20]Dotan Di Castro, Omkar Joglekar, Shir Kozlovsky, Vladimir Tchuiev, Michal Moshkovitz:
Gradient-Free Neural Network Training on the Edge. CoRR abs/2410.09734 (2024) - 2023
- [c13]Robi Bhattacharjee, Jacob Imola, Michal Moshkovitz, Sanjoy Dasgupta:
Online k-means Clustering on Arbitrary Data Streams. ALT 2023: 204-236 - [c12]Lee Cohen, Yishay Mansour, Michal Moshkovitz:
Finding Safe Zones of Markov Decision Processes Policies. NeurIPS 2023 - 2022
- [c11]Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz:
Framework for Evaluating Faithfulness of Local Explanations. ICML 2022: 4794-4815 - [i19]Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz:
Framework for Evaluating Faithfulness of Local Explanations. CoRR abs/2202.00734 (2022) - [i18]Lee Cohen, Yishay Mansour, Michal Moshkovitz:
Finding Safe Zones of policies Markov Decision Processes. CoRR abs/2202.11593 (2022) - [i17]Yishay Mansour, Michal Moshkovitz, Cynthia Rudin:
There is no Accuracy-Interpretability Tradeoff in Reinforcement Learning for Mazes. CoRR abs/2206.04266 (2022) - [i16]Chhavi Yadav, Michal Moshkovitz, Kamalika Chaudhuri:
A Learning-Theoretic Framework for Certified Auditing of Machine Learning Models. CoRR abs/2206.04740 (2022) - 2021
- [c10]Robi Bhattacharjee, Michal Moshkovitz:
No-substitution k-means Clustering with Adversarial Order. ALT 2021: 345-366 - [c9]Michal Moshkovitz:
Unexpected Effects of Online no-Substitution k-means Clustering. ALT 2021: 892-930 - [c8]Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz:
Bounded Memory Active Learning through Enriched Queries. COLT 2021: 2358-2387 - [c7]Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri:
Connecting Interpretability and Robustness in Decision Trees through Separation. ICML 2021: 7839-7849 - [c6]Tom Hess, Michal Moshkovitz, Sivan Sabato:
A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering. NeurIPS 2021: 3298-3308 - [i15]Tom Hess, Michal Moshkovitz, Sivan Sabato:
A Constant Approximation Algorithm for Sequential No-Substitution k-Median Clustering under a Random Arrival Order. CoRR abs/2102.04050 (2021) - [i14]Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz:
Bounded Memory Active Learning through Enriched Queries. CoRR abs/2102.05047 (2021) - [i13]Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri:
Connecting Interpretability and Robustness in Decision Trees through Separation. CoRR abs/2102.07048 (2021) - 2020
- [c5]Michal Moshkovitz, Sanjoy Dasgupta, Cyrus Rashtchian, Nave Frost:
Explainable k-Means and k-Medians Clustering. ICML 2020: 7055-7065 - [c4]Alon Gonen, Shachar Lovett, Michal Moshkovitz:
Towards a Combinatorial Characterization of Bounded-Memory Learning. NeurIPS 2020 - [i12]Alon Gonen, Shachar Lovett, Michal Moshkovitz:
Towards a combinatorial characterization of bounded memory learning. CoRR abs/2002.03123 (2020) - [i11]Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz, Cyrus Rashtchian:
Explainable k-Means and k-Medians Clustering. CoRR abs/2002.12538 (2020) - [i10]Nave Frost, Michal Moshkovitz, Cyrus Rashtchian:
ExKMC: Expanding Explainable k-Means Clustering. CoRR abs/2006.02399 (2020) - [i9]Robi Bhattacharjee, Michal Moshkovitz:
No-substitution k-means Clustering with Adversarial Order. CoRR abs/2012.14512 (2020)
2010 – 2019
- 2019
- [i8]Tal Kachman, Michal Moshkovitz, Michal Rosen-Zvi:
Novel Uncertainty Framework for Deep Learning Ensembles. CoRR abs/1904.04917 (2019) - [i7]Michal Moshkovitz:
Unexpected Effects of Online K-means Clustering. CoRR abs/1908.06818 (2019) - 2018
- [c3]Dana Moshkovitz, Michal Moshkovitz:
Entropy Samplers and Strong Generic Lower Bounds For Space Bounded Learning. ITCS 2018: 28:1-28:20 - 2017
- [c2]Dana Moshkovitz, Michal Moshkovitz:
Mixing Implies Lower Bounds for Space Bounded Learning. COLT 2017: 1516-1566 - [i6]Michal Moshkovitz, Naftali Tishby:
Mixing Complexity and its Applications to Neural Networks. CoRR abs/1703.00729 (2017) - [i5]Michal Moshkovitz, Naftali Tishby:
A General Memory-Bounded Learning Algorithm. CoRR abs/1712.03524 (2017) - [i4]Michal Moshkovitz, Dana Moshkovitz:
Mixing Implies Lower Bounds for Space Bounded Learning. Electron. Colloquium Comput. Complex. TR17 (2017) - [i3]Michal Moshkovitz, Dana Moshkovitz:
Mixing Implies Strong Lower Bounds for Space Bounded Learning. Electron. Colloquium Comput. Complex. TR17 (2017) - 2016
- [i2]Roy Fox, Michal Moshkovitz, Naftali Tishby:
Principled Option Learning in Markov Decision Processes. CoRR abs/1609.05524 (2016) - 2014
- [c1]Michal Moshkovitz, Naftali Tishby:
Control your information for better predictions. ISIT 2014: 916-920 - 2010
- [i1]Michal Moshkovitz:
Distance Estimators with Sublogarithmic Number of Queries. Electron. Colloquium Comput. Complex. TR10 (2010)
Coauthor Index
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 2024-11-25 22:48 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: