default search action
Shipra Agrawal 0001
Person information
- affiliation: Columbia University, New York City, NY, USA
- affiliation (2011 - 2015): Microsoft Research India, Bangalore, India
- affiliation (PhD 2011): Stanford University, CA, USA
Other persons with the same name
- Shipra Agrawal 0002 — Institute of Bioinformatics and Applied Biotechnology, Bangalore, India
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [e2]Shipra Agrawal, Aaron Roth:
The Thirty Seventh Annual Conference on Learning Theory, June 30 - July 3, 2023, Edmonton, Canada. Proceedings of Machine Learning Research 247, PMLR 2024 [contents] - [i33]Shipra Agrawal, Wei Tang:
Dynamic Pricing and Learning with Long-term Reference Effects. CoRR abs/2402.12562 (2024) - [i32]Priyank Agrawal, Shipra Agrawal:
Optimistic Q-learning for average reward and episodic reinforcement learning. CoRR abs/2407.13743 (2024) - 2023
- [j10]Shipra Agrawal, Randy Jia:
Optimistic Posterior Sampling for Reinforcement Learning: Worst-Case Regret Bounds. Math. Oper. Res. 48(1): 363-392 (2023) - [c34]Shipra Agrawal, Yiding Feng, Wei Tang:
Dynamic Pricing and Learning with Bayesian Persuasion. NeurIPS 2023 - [e1]Shipra Agrawal, Francesco Orabona:
International Conference on Algorithmic Learning Theory, February 20-23, 2023, Singapore. Proceedings of Machine Learning Research 201, PMLR 2023 [contents] - [i31]Shipra Agrawal, Yiding Feng, Wei Tang:
Dynamic Pricing and Learning with Bayesian Persuasion. CoRR abs/2304.14385 (2023) - 2022
- [j9]Shipra Agrawal, Randy Jia:
Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management. Oper. Res. 70(3): 1646-1664 (2022) - [c33]Sudeep Raja Putta, Shipra Agrawal:
Scale-Free Adversarial Multi Armed Bandits. ALT 2022: 910-930 - [c32]Steven Yin, Shipra Agrawal, Assaf Zeevi:
Online Allocation and Learning in the Presence of Strategic Agents. NeurIPS 2022 - [i30]Steven Yin, Shipra Agrawal, Assaf Zeevi:
Online Allocation and Learning in the Presence of Strategic Agents. CoRR abs/2209.12112 (2022) - 2021
- [c31]Shipra Agrawal, Steven Yin, Assaf Zeevi:
Dynamic Pricing and Learning under the Bass Model. EC 2021: 2-3 - [c30]Shipra Agrawal, Eric Balkanski, Vahab S. Mirrokni, Balasubramanian Sivan:
Robust Repeated First Price Auctions. EC 2021: 4 - [i29]Shipra Agrawal, Steven Yin, Assaf Zeevi:
Dynamic Pricing and Learning under the Bass Model. CoRR abs/2103.05199 (2021) - [i28]Sudeep Raja Putta, Shipra Agrawal:
Scale Free Adversarial Multi Armed Bandits. CoRR abs/2106.04700 (2021) - 2020
- [c29]Yunhao Tang, Shipra Agrawal:
Discretizing Continuous Action Space for On-Policy Optimization. AAAI 2020: 5981-5988 - [c28]Yunhao Tang, Shipra Agrawal, Yuri Faenza:
Reinforcement Learning for Integer Programming: Learning to Cut. ICML 2020: 9367-9376 - [c27]Shipra Agrawal, Jay Sethuraman, Xingyu Zhang:
On Optimal Ordering in the Optimal Stopping Problem. EC 2020: 187-188
2010 – 2019
- 2019
- [j8]Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi:
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection. Oper. Res. 67(5): 1453-1485 (2019) - [j7]Shipra Agrawal, Nikhil R. Devanur:
Bandits with Global Convex Constraints and Objective. Oper. Res. 67(5): 1486-1502 (2019) - [c26]Shipra Agrawal, Randy Jia:
Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management. EC 2019: 743-744 - [c25]Shipra Agrawal, Mohammad Shadravan, Cliff Stein:
Submodular Secretary Problem with Shortlists. ITCS 2019: 1:1-1:19 - [i27]Yunhao Tang, Shipra Agrawal:
Discretizing Continuous Action Space for On-Policy Optimization. CoRR abs/1901.10500 (2019) - [i26]Shipra Agrawal, Randy Jia:
Learning in structured MDPs with convex cost functions: Improved regret bounds for inventory management. CoRR abs/1905.04337 (2019) - [i25]Shipra Agrawal, Eric Balkanski, Vahab S. Mirrokni, Balasubramanian Sivan:
Dynamic First Price Auctions Robust to Heterogeneous Buyers. CoRR abs/1906.03286 (2019) - [i24]Yunhao Tang, Shipra Agrawal, Yuri Faenza:
Reinforcement Learning for Integer Programming: Learning to Cut. CoRR abs/1906.04859 (2019) - [i23]Shipra Agrawal, Jay Sethuraman, Xingyu Zhang:
On optimal ordering in the optimal stopping problem. CoRR abs/1911.05096 (2019) - 2018
- [c24]Shipra Agrawal, Morteza Zadimoghaddam, Vahab S. Mirrokni:
Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy. ICML 2018: 99-108 - [c23]Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder:
Bandits with Delayed, Aggregated Anonymous Feedback. ICML 2018: 4102-4110 - [c22]Yunhao Tang, Shipra Agrawal:
Exploration by Distributional Reinforcement Learning. IJCAI 2018: 2710-2716 - [c21]Shipra Agrawal, Constantinos Daskalakis, Vahab S. Mirrokni, Balasubramanian Sivan:
Robust Repeated Auctions under Heterogeneous Buyer Behavior. EC 2018: 171 - [i22]Shipra Agrawal, Constantinos Daskalakis, Vahab S. Mirrokni, Balasubramanian Sivan:
Robust Repeated Auctions under Heterogeneous Buyer Behavior. CoRR abs/1803.00494 (2018) - [i21]Yunhao Tang, Shipra Agrawal:
Exploration by Distributional Reinforcement Learning. CoRR abs/1805.01907 (2018) - [i20]Yunhao Tang, Shipra Agrawal:
Implicit Policy for Reinforcement Learning. CoRR abs/1806.06798 (2018) - [i19]Shipra Agrawal, Mohammad Shadravan, Cliff Stein:
Submodular Secretary Problem with Shortlists. CoRR abs/1809.05082 (2018) - [i18]Yunhao Tang, Shipra Agrawal:
Boosting Trust Region Policy Optimization by Normalizing Flows Policy. CoRR abs/1809.10326 (2018) - 2017
- [j6]Shipra Agrawal, Navin Goyal:
Near-Optimal Regret Bounds for Thompson Sampling. J. ACM 64(5): 30:1-30:24 (2017) - [c20]Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi:
Thompson Sampling for the MNL-Bandit. COLT 2017: 76-78 - [c19]Shipra Agrawal, Randy Jia:
Optimistic posterior sampling for reinforcement learning: worst-case regret bounds. NIPS 2017: 1184-1194 - [i17]Shipra Agrawal, Randy Jia:
Posterior sampling for reinforcement learning: worst-case regret bounds. CoRR abs/1705.07041 (2017) - [i16]Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi:
Thompson Sampling for the MNL-Bandit. CoRR abs/1706.00977 (2017) - [i15]Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi:
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection. CoRR abs/1706.03880 (2017) - [i14]Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder:
Bandits with Delayed Anonymous Feedback. CoRR abs/1709.06853 (2017) - 2016
- [c18]Shipra Agrawal, Nikhil R. Devanur, Lihong Li:
An efficient algorithm for contextual bandits with knapsacks, and an extension to concave objectives. COLT 2016: 4-18 - [c17]Shipra Agrawal, Nikhil R. Devanur:
Linear Contextual Bandits with Knapsacks. NIPS 2016: 3450-3458 - [c16]Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi:
A Near-Optimal Exploration-Exploitation Approach for Assortment Selection. EC 2016: 599-600 - 2015
- [c15]Shipra Agrawal, Nikhil R. Devanur:
Fast Algorithms for Online Stochastic Convex Programming. SODA 2015: 1405-1424 - [i13]Shipra Agrawal, Nikhil R. Devanur, Lihong Li:
Contextual Bandits with Global Constraints and Objective. CoRR abs/1506.03374 (2015) - [i12]Shipra Agrawal, Nikhil R. Devanur:
Linear Contextual Bandits with Global Constraints and Objective. CoRR abs/1507.06738 (2015) - 2014
- [j5]Shipra Agrawal, Zizhuo Wang, Yinyu Ye:
A Dynamic Near-Optimal Algorithm for Online Linear Programming. Oper. Res. 62(4): 876-890 (2014) - [c14]Tomás Kocák, Michal Valko, Rémi Munos, Shipra Agrawal:
Spectral Thompson Sampling. AAAI 2014: 1911-1917 - [c13]Shipra Agrawal, Nikhil R. Devanur:
Bandits with concave rewards and convex knapsacks. EC 2014: 989-1006 - [i11]Shipra Agrawal, Nikhil R. Devanur:
Bandits with concave rewards and convex knapsacks. CoRR abs/1402.5758 (2014) - [i10]Shipra Agrawal, Nikhil R. Devanur:
Fast Algorithms for Online Stochastic Convex Programming. CoRR abs/1410.7596 (2014) - 2013
- [c12]Shipra Agrawal, Navin Goyal:
Further Optimal Regret Bounds for Thompson Sampling. AISTATS 2013: 99-107 - [c11]Shipra Agrawal, Navin Goyal:
Thompson Sampling for Contextual Bandits with Linear Payoffs. ICML (3) 2013: 127-135 - 2012
- [j4]Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Ye:
Price of Correlations in Stochastic Optimization. Oper. Res. 60(1): 150-162 (2012) - [c10]Shipra Agrawal, Navin Goyal:
Analysis of Thompson Sampling for the Multi-armed Bandit Problem. COLT 2012: 39.1-39.26 - [i9]Shipra Agrawal, Navin Goyal:
Thompson Sampling for Contextual Bandits with Linear Payoffs. CoRR abs/1209.3352 (2012) - [i8]Shipra Agrawal, Navin Goyal:
Further Optimal Regret Bounds for Thompson Sampling. CoRR abs/1209.3353 (2012) - 2011
- [b1]Shipra Agrawal:
Optimization under uncertainty: bounding the correlation gap. Stanford University, USA, 2011 - [j3]Shipra Agrawal, Erick Delage, Mark Peters, Zizhuo Wang, Yinyu Ye:
A Unified Framework for Dynamic Prediction Market Design. Oper. Res. 59(3): 550-568 (2011) - [i7]Shipra Agrawal, Navin Goyal:
Analysis of Thompson Sampling for the multi-armed bandit problem. CoRR abs/1111.1797 (2011) - 2010
- [c9]Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Ye:
Correlation Robust Stochastic Optimization. SODA 2010: 1087-1096
2000 – 2009
- 2009
- [j2]Shipra Agrawal, Jayant R. Haritsa, B. Aditya Prakash:
FRAPP: a framework for high-accuracy privacy-preserving mining. Data Min. Knowl. Discov. 18(1): 101-139 (2009) - [c8]Shipra Agrawal, Erick Delage, Mark Peters, Zizhuo Wang, Yinyu Ye:
A unified framework for dynamic pari-mutuel information market design. EC 2009: 255-264 - [i6]Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Ye:
Distributionally Robust Stochastic Programming with Binary Random Variables. CoRR abs/0902.1792 (2009) - [i5]Shipra Agrawal, Zizhuo Wang, Yinyu Ye:
A Dynamic Near-Optimal Algorithm for Online Linear Programming. CoRR abs/0911.2974 (2009) - 2008
- [c7]Shipra Agrawal, Zizhuo Wang, Yinyu Ye:
Parimutuel Betting on Permutations. WINE 2008: 126-137 - [i4]Shipra Agrawal, Zizhuo Wang, Yinyu Ye:
Parimutuel Betting on Permutations. CoRR abs/0804.2288 (2008) - [i3]Shipra Agrawal, Amin Saberi, Yinyu Ye:
Stochastic Combinatorial Optimization under Probabilistic Constraints. CoRR abs/0809.0460 (2008) - 2007
- [j1]Shipra Agrawal, C. N. Kanthi, K. V. M. Naidu, Jeyashankher Ramamirtham, Rajeev Rastogi, Scott Satkin, Anand Srinivasan:
Monitoring infrastructure for converged networks and services. Bell Labs Tech. J. 12(2): 63-77 (2007) - [c6]Shipra Agrawal, Supratim Deb, K. V. M. Naidu, Rajeev Rastogi:
Efficient Detection of Distributed Constraint Violations. ICDE 2007: 1320-1324 - [c5]Shipra Agrawal, K. V. M. Naidu, Rajeev Rastogi:
Diagnosing Link-Level Anomalies Using Passive Probes. INFOCOM 2007: 1757-1765 - 2006
- [c4]Shipra Agrawal, Supratim Deb, K. V. M. Naidu, Rajeev Rastogi:
Efficient Detection of Distributed Constraint Violations. COMAD 2006: 230-239 - [c3]Shipra Agrawal, P. P. S. Narayan, Jeyashankher Ramamirtham, Rajeev Rastogi, Mark A. Smith, Ken Swanson, Marina Thottan:
VoIP service quality monitoring using active and passive probes. COMSWARE 2006: 1-10 - 2005
- [c2]Shipra Agrawal, Jayant R. Haritsa:
A Framework for High-Accuracy Privacy-Preserving Mining. ICDE 2005: 193-204 - 2004
- [c1]Shipra Agrawal, Vijay Krishnan, Jayant R. Haritsa:
On Addressing Efficiency Concerns in Privacy-Preserving Mining. DASFAA 2004: 113-124 - [i2]Shipra Agrawal, Jayant R. Haritsa:
A Framework for High-Accuracy Privacy-Preserving Mining. CoRR cs.DB/0407035 (2004) - 2003
- [i1]Shipra Agrawal, Vijay Krishnan, Jayant R. Haritsa:
On Addressing Efficiency Concerns in Privacy Preserving Data Mining. CoRR cs.DB/0310038 (2003)
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 2024-08-23 18:35 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint