Volodymyr Kuleshov

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 Shachi Deshpande

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Publications

2023
[i31]
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  - journals/corr/abs-2302-12196
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Volodymyr Kuleshov, Shachi Deshpande:
Online Calibrated Regression for Adversarially Robust Forecasting. CoRR abs/2302.12196 (2023)
[i30]
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  - journals/corr/abs-2306-00382
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Shachi Deshpande, Volodymyr Kuleshov:
Calibrated Propensity Scores for Causal Effect Estimation. CoRR abs/2306.00382 (2023)
2022
[c17]
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  - conf/icml/KuleshovD22
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Volodymyr Kuleshov, Shachi Deshpande:
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation. ICML 2022: 11683-11693
[c16]
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Shachi Deshpande, Kaiwen Wang, Dhruv Sreenivas, Zheng Li, Volodymyr Kuleshov:
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies. NeurIPS 2022
[i21]
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  - journals/corr/abs-2203-09672
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Shachi Deshpande, Zheng Li, Volodymyr Kuleshov:
Multi-Modal Causal Inference with Deep Structural Equation Models. CoRR abs/2203.09672 (2022)
2021
[i14]
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  - journals/corr/abs-2112-04620
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Shachi Deshpande, Volodymyr Kuleshov:
Calibration Improves Bayesian Optimization. CoRR abs/2112.04620 (2021)
[i11]
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  - journals/corr/abs-2112-07184
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Volodymyr Kuleshov, Shachi Deshpande:
Calibrated and Sharp Uncertainties in Deep Learning via Simple Density Estimation. CoRR abs/2112.07184 (2021)

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