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Scott Sanner

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 Jihwan Jeong

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Publications

2023
[c122]
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  - conf/cpaior/JeongSK23
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Jihwan Jeong, Scott Sanner, Akshat Kumar:
A Mixed-Integer Linear Programming Reduction of Disjoint Bilinear Programs via Symbolic Variable Elimination. CPAIOR 2023: 79-95
[c117]
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  - conf/iclr/JeongWGKAS23
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Jihwan Jeong, Xiaoyu Wang, Michael Gimelfarb, Hyunwoo Kim, Baher Abdulhai, Scott Sanner:
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization. ICLR 2023
2022
[j17]
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  - journals/ijon/MaiLJQKS22
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Zheda Mai, Ruiwen Li, Jihwan Jeong, David Quispe, Hyunwoo Kim, Scott Sanner:
Online continual learning in image classification: An empirical survey. Neurocomputing 469: 28-51 (2022)
[c108]
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  - conf/aaai/PattonJGS22
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Noah Patton, Jihwan Jeong, Mike Gimelfarb, Scott Sanner:
A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs. AAAI 2022: 9894-9901
[c107]
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  - conf/icml/JeongJBS22
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Jihwan Jeong, Parth Jaggi, Andrew Butler, Scott Sanner:
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming. ICML 2022: 10053-10067
[i36]
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  - journals/corr/abs-2210-03802
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Jihwan Jeong, Xiaoyu Wang, Michael Gimelfarb, Hyunwoo Kim, Baher Abdulhai, Scott Sanner:
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization. CoRR abs/2210.03802 (2022)
2021
[c102]
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  - conf/aaai/ShimMJSKJ21
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Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang:
Online Class-Incremental Continual Learning with Adversarial Shapley Value. AAAI 2021: 9630-9638
[c99]
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  - conf/ijcai/JeongJS21
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Jihwan Jeong, Parth Jaggi, Scott Sanner:
Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions. IJCAI 2021: 4083-4089
[i31]
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  - journals/corr/abs-2101-10423
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Zheda Mai, Ruiwen Li, Jihwan Jeong, David Quispe, Hyunwoo Kim, Scott Sanner:
Online Continual Learning in Image Classification: An Empirical Survey. CoRR abs/2101.10423 (2021)
[i27]
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  - journals/corr/abs-2106-07260
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Noah Patton, Jihwan Jeong, Michael Gimelfarb, Scott Sanner:
RAPTOR: End-to-end Risk-Aware MDP Planning and Policy Learning by Backpropagation. CoRR abs/2106.07260 (2021)
2020
[i20]
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  - journals/corr/abs-2007-05683
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Zheda Mai, Hyunwoo Kim, Jihwan Jeong, Scott Sanner:
Batch-level Experience Replay with Review for Continual Learning. CoRR abs/2007.05683 (2020)
[i18]
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  - journals/corr/abs-2009-00093
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Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang:
Adversarial Shapley Value Experience Replay for Task-Free Continual Learning. CoRR abs/2009.00093 (2020)

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