default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGuru Guruganesh
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c25]Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli:
Functional Interpolation for Relative Positions improves Long Context Transformers. ICLR 2024- [c24]Guru Guruganesh, Aranyak Mehta, Di Wang, Kangning Wang:
Prior-Independent Auctions for Heterogeneous Bidders. SODA 2024: 1-18 - [c23]Guru Guruganesh
, Jon Schneider, Joshua R. Wang:
Prior-Free Mechanism with Welfare Guarantees. WWW 2024: 135-143 - [i22]Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Joshua R. Wang, S. Matthew Weinberg:
Contracting with a Learning Agent. CoRR abs/2401.16198 (2024) - 2023
- [c22]Paul Duetting, Guru Guruganesh, Jon Schneider, Joshua Ruizhi Wang:
Optimal No-Regret Learning for One-Sided Lipschitz Functions. ICML 2023: 8836-8850 - [c21]Guru Guruganesh, Jon Schneider, Joshua R. Wang, Junyao Zhao:
The Power of Menus in Contract Design. EC 2023: 818-848 - [c20]Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh:
Learning to Bid in Contextual First Price Auctions✱. WWW 2023: 3489-3497 - [i21]Guru Guruganesh, Jon Schneider, Joshua R. Wang, Junyao Zhao:
The Power of Menus in Contract Design. CoRR abs/2306.12667 (2023) - [i20]Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontañón, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli:
Functional Interpolation for Relative Positions Improves Long Context Transformers. CoRR abs/2310.04418 (2023) - 2022
- [j3]Sepehr Abbasi Zadeh, Nikhil Bansal, Guru Guruganesh, Aleksandar Nikolov, Roy Schwartz, Mohit Singh:
Sticky Brownian Rounding and its Applications to Constraint Satisfaction Problems. ACM Trans. Algorithms 18(4): 33:1-33:50 (2022) - [c19]Gagan Aggarwal, Kshipra Bhawalkar, Guru Guruganesh, Andrés Perlroth:
Maximizing Revenue in the Presence of Intermediaries. ITCS 2022: 1:1-1:22 - [c18]Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Kumar Avinava Dubey, Manzil Zaheer:
A Fourier Approach to Mixture Learning. NeurIPS 2022 - [i19]Guru Guruganesh, Aranyak Mehta, Di Wang, Kangning Wang:
Prior-Independent Auctions for Heterogeneous Bidders. CoRR abs/2207.09429 (2022) - [i18]Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Avinava Dubey, Manzil Zaheer:
A Fourier Approach to Mixture Learning. CoRR abs/2210.02415 (2022) - 2021
- [j2]C. J. Argue, Anupam Gupta, Ziye Tang, Guru Guruganesh:
Chasing Convex Bodies with Linear Competitive Ratio. J. ACM 68(5): 32:1-32:10 (2021) - [c17]Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi:
Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions. AAAI 2021: 5399-5406 - [c16]Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu:
Scalable Hierarchical Agglomerative Clustering. KDD 2021: 1245-1255 - [c15]Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias, Pasin Manurangsi, Renato Paes Leme, Jon Schneider:
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms. NeurIPS 2021: 22498-22508 - [c14]Guru Guruganesh, Allen Liu, Jon Schneider, Joshua R. Wang:
Margin-Independent Online Multiclass Learning via Convex Geometry. NeurIPS 2021: 29156-29167 - [c13]Guru Guruganesh, Jon Schneider, Joshua R. Wang:
Contracts under Moral Hazard and Adverse Selection. EC 2021: 563-582 - [c12]C. J. Argue, Anupam Gupta, Guru Guruganesh, Ziye Tang:
Chasing convex bodies with linear competitive ratio (invited paper). STOC 2021: 5 - [i17]Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias, Pasin Manurangsi, Renato Paes Leme, Jon Schneider:
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms. CoRR abs/2106.04819 (2021) - [i16]Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh:
Learning to Bid in Contextual First Price Auctions. CoRR abs/2109.03173 (2021) - [i15]Guru Guruganesh, Allen Liu, Jon Schneider, Joshua R. Wang:
Margin-Independent Online Multiclass Learning via Convex Geometry. CoRR abs/2111.08057 (2021) - [i14]Gagan Aggarwal, Kshipra Bhawalkar, Guru Guruganesh, Andrés Perlroth:
Maximizing revenue in the presence of intermediaries. CoRR abs/2111.10472 (2021) - 2020
- [c11]C. J. Argue, Anupam Gupta, Guru Guruganesh:
Dimension-Free Bounds for Chasing Convex Functions. COLT 2020: 219-241 - [c10]Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed:
Big Bird: Transformers for Longer Sequences. NeurIPS 2020 - [c9]Sepehr Abbasi Zadeh, Nikhil Bansal, Guru Guruganesh, Aleksandar Nikolov, Roy Schwartz, Mohit Singh:
Sticky Brownian Rounding and its Applications to Constraint Satisfaction Problems. SODA 2020: 854-873 - [c8]C. J. Argue, Anupam Gupta, Guru Guruganesh, Ziye Tang:
Chasing Convex Bodies with Linear Competitive Ratio. SODA 2020: 1519-1524 - [i13]C. J. Argue, Anupam Gupta, Guru Guruganesh:
Dimension-Free Bounds on Chasing Convex Functions. CoRR abs/2005.14058 (2020) - [i12]Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed:
Big Bird: Transformers for Longer Sequences. CoRR abs/2007.14062 (2020) - [i11]Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi:
Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions. CoRR abs/2009.06136 (2020) - [i10]Guru Guruganesh, Jon Schneider, Joshua R. Wang:
Contracts under Moral Hazard and Adverse Selection. CoRR abs/2010.06742 (2020) - [i9]Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu:
Scalable Bottom-Up Hierarchical Clustering. CoRR abs/2010.11821 (2020)
2010 – 2019
- 2019
- [c7]Anupam Gupta, Guru Guruganesh, Binghui Peng, David Wajc:
Stochastic Online Metric Matching. ICALP 2019: 67:1-67:14 - [i8]Anupam Gupta, Guru Guruganesh, Binghui Peng, David Wajc:
Stochastic Online Metric Matching. CoRR abs/1904.09284 (2019) - [i7]C. J. Argue, Anupam Gupta, Guru Guruganesh, Ziye Tang:
Chasing Convex Bodies with Linear Competitive Ratio. CoRR abs/1905.11877 (2019) - 2018
- [j1]Nikhil Bansal, Anupam Gupta, Guru Guruganesh:
On the Lovász Theta Function for Independent Sets in Sparse Graphs. SIAM J. Comput. 47(3): 1039-1055 (2018) - [c6]Björn Feldkord, Matthias Feldotto, Anupam Gupta, Guru Guruganesh, Amit Kumar, Sören Riechers, David Wajc:
Fully-Dynamic Bin Packing with Little Repacking. ICALP 2018: 51:1-51:24 - [i6]Sepehr Abbasi Zadeh, Nikhil Bansal, Guru Guruganesh, Aleksandar Nikolov, Roy Schwartz, Mohit Singh:
Sticky Brownian Rounding and its Applications to Constraint Satisfaction Problems. CoRR abs/1812.07769 (2018) - 2017
- [c5]Guru Guruganesh, Jennifer Iglesias, R. Ravi, Laura Sanità:
Single-Sink Fractionally Subadditive Network Design. ESA 2017: 46:1-46:13 - [c4]Guru Guruganesh, Euiwoong Lee:
Understanding the Correlation Gap For Matchings. FSTTCS 2017: 32:1-32:15 - [i5]Guru Guruganesh, Jennifer Iglesias, R. Ravi, Laura Sanità:
Single-sink Fractionally Subadditive Network Design. CoRR abs/1707.01487 (2017) - [i4]Guru Guruganesh, Euiwoong Lee:
Understanding the Correlation Gap for Matchings. CoRR abs/1710.06339 (2017) - [i3]Anupam Gupta, Guru Guruganesh, Amit Kumar, David Wajc:
Fully-Dynamic Bin Packing with Limited Repacking. CoRR abs/1711.02078 (2017) - 2016
- [c3]Anupam Gupta, Guru Guruganesh, Melanie Schmidt:
Approximation Algorithms for Aversion k-Clustering via Local k-Median. ICALP 2016: 66:1-66:13 - 2015
- [c2]Guru Guruganesh, Laura Sanità, Chaitanya Swamy:
Improved Region-Growing and Combinatorial Algorithms for k-Route Cut Problems (Extended Abstract). SODA 2015: 676-695 - [c1]Nikhil Bansal, Anupam Gupta, Guru Guruganesh:
On the Lovász Theta function for Independent Sets in Sparse Graphs. STOC 2015: 193-200 - [i2]Nikhil Bansal, Anupam Gupta, Guru Guruganesh:
On the Lovász Theta function for Independent Sets in Sparse Graphs. CoRR abs/1504.04767 (2015) - 2014
- [i1]Guru Guruganesh, Laura Sanità, Chaitanya Swamy:
Improved Region-Growing and Combinatorial Algorithms for $k$-Route Cut Problems. CoRR abs/1410.5105 (2014)
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 2024-10-16 20:32 CEST 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:
