Guru Guruganesh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
10
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | STOC | Combinatorial Optimization using Comparison Oracles. | Vincent Cohen-Addad, Tommaso d'Orsi, Anupam Gupta, Guru Guruganesh, Euiwoong Lee, Renato Paes Leme, Debmalya Panigrahi, Madhusudhan Reddy Pittu, Jon Schneider, David P. Woodruff |
| 2024 | ICLR | Functional Interpolation for Relative Positions improves Long Context Transformers. | Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontan, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli |
| 2024 | WWW | Prior-Free Mechanism with Welfare Guarantees. | Guru Guruganesh, Jon Schneider, Joshua R. Wang |
| 2024 | SODA | Prior-Independent Auctions for Heterogeneous Bidders. | Guru Guruganesh, Aranyak Mehta, Di Wang, Kangning Wang |
| 2023 | ICML | Optimal No-Regret Learning for One-Sided Lipschitz Functions. | Paul Duetting, Guru Guruganesh, Jon Schneider, Joshua Ruizhi Wang |
| 2023 | WWW | Learning to Bid in Contextual First Price Auctions✱. | Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh |
| 2021 | AAAI | Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions. | Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi |
| 2021 | KDD | Scalable Hierarchical Agglomerative Clustering. | Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gkhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu |
| 2021 | STOC | Chasing convex bodies with linear competitive ratio (invited paper). | C. J. Argue, Anupam Gupta, Guru Guruganesh, Ziye Tang |
| 2020 | COLT | Dimension-Free Bounds for Chasing Convex Functions. | C. J. Argue, Anupam Gupta, Guru Guruganesh |
| 2020 | SODA | Chasing Convex Bodies with Linear Competitive Ratio. | C. J. Argue, Anupam Gupta, Guru Guruganesh, Ziye Tang |
| 2020 | SODA | Sticky Brownian Rounding and its Applications to Constraint Satisfaction Problems. | Sepehr Abbasi Zadeh, Nikhil Bansal, Guru Guruganesh, Aleksandar Nikolov, Roy Schwartz, Mohit Singh |
| 2019 | ICALP | Stochastic Online Metric Matching. | Anupam Gupta, Guru Guruganesh, Binghui Peng, David Wajc |
| 2018 | ICALP | Fully-Dynamic Bin Packing with Little Repacking. | Bjrn Feldkord, Matthias Feldotto, Anupam Gupta, Guru Guruganesh, Amit Kumar, Sren Riechers, David Wajc |
| 2017 | ESA | Single-Sink Fractionally Subadditive Network Design. | Guru Guruganesh, Jennifer Iglesias, R. Ravi, Laura Sanit |
| 2016 | ICALP | Approximation Algorithms for Aversion k-Clustering via Local k-Median. | Anupam Gupta, Guru Guruganesh, Melanie Schmidt |
| 2015 | SODA | Improved Region-Growing and Combinatorial Algorithms for | Guru Guruganesh, Laura Sanit, Chaitanya Swamy |
| 2015 | STOC | On the Lovsz Theta function for Independent Sets in Sparse Graphs. | Nikhil Bansal, Anupam Gupta, Guru Guruganesh |