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Ankur Moitra

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Frederic Koehler

> Home > Persons > Ankur Moitra

Publications

2022
[c61]
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  - conf/stoc/ChenKMY22
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  - https://dblp.org/rec/conf/stoc/ChenKMY22
Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau:
Kalman filtering with adversarial corruptions. STOC 2022: 832-845
2021
[c59]
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  - conf/focs/ChenKMY21
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Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau:
Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination. FOCS 2021: 684-695
[i55]
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  dblp key:
  - journals/corr/abs-2111-06395
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  - https://dblp.org/rec/journals/corr/abs-2111-06395
Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau:
Kalman Filtering with Adversarial Corruptions. CoRR abs/2111.06395 (2021)
2020
[j13]
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  dblp key:
  - journals/jcb/KimKMMR20
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Younhun Kim, Frederic Koehler, Ankur Moitra, Elchanan Mossel, Govind Ramnarayan:
How Many Subpopulations Is Too Many? Exponential Lower Bounds for Inferring Population Histories. J. Comput. Biol. 27(4): 613-625 (2020)
[c51]
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  - electronic edition @ neurips.cc (open access)
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  - conf/nips/ChenKMY20
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Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau:
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability. NeurIPS 2020
[c50]
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  - electronic edition @ neurips.cc (open access)
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  dblp key:
  - conf/nips/KelnerKMM20
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Jonathan A. Kelner, Frederic Koehler, Raghu Meka, Ankur Moitra:
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds. NeurIPS 2020
[i48]
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  - journals/corr/abs-2006-04787
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Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau:
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability. CoRR abs/2006.04787 (2020)
[i47]
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  dblp key:
  - journals/corr/abs-2010-04157
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Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau:
Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination. CoRR abs/2010.04157 (2020)
2019
[c46]
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  dblp key:
  - conf/recomb/KimKMMR19
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Younhun Kim, Frederic Koehler, Ankur Moitra, Elchanan Mossel, Govind Ramnarayan:
How Many Subpopulations Is Too Many? Exponential Lower Bounds for Inferring Population Histories. RECOMB 2019: 136-157
[c44]
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  dblp key:
  - conf/stoc/BreslerKM19
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  - https://dblp.org/rec/conf/stoc/BreslerKM19
Guy Bresler, Frederic Koehler, Ankur Moitra:
Learning restricted Boltzmann machines via influence maximization. STOC 2019: 828-839
[i44]
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  dblp key:
  - journals/corr/abs-1905-01282
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Jonathan A. Kelner, Frederic Koehler, Raghu Meka, Ankur Moitra:
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds. CoRR abs/1905.01282 (2019)
2018
[i40]
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  - journals/corr/abs-1805-10262
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Guy Bresler, Frederic Koehler, Ankur Moitra, Elchanan Mossel:
Learning Restricted Boltzmann Machines via Influence Maximization. CoRR abs/1805.10262 (2018)
2017
[c35]
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  dblp key:
  - conf/nips/HamiltonKM17
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Linus Hamilton, Frederic Koehler, Ankur Moitra:
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications. NIPS 2017: 2463-2472
[i32]
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  - journals/corr/HamiltonKM17
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Linus Hamilton, Frederic Koehler, Ankur Moitra:
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications. CoRR abs/1705.11107 (2017)
2016
[c30]
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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/icml/AroraGKMM16
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Sanjeev Arora, Rong Ge, Frederic Koehler, Tengyu Ma, Ankur Moitra:
Provable Algorithms for Inference in Topic Models. ICML 2016: 2859-2867
[i29]
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  dblp key:
  - journals/corr/AroraGKMM16
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Sanjeev Arora, Rong Ge, Frederic Koehler, Tengyu Ma, Ankur Moitra:
Provable Algorithms for Inference in Topic Models. CoRR abs/1605.08491 (2016)

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