Sandeep Silwal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
8
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COLT | How fast can you find a good hypothesis? | Anders Aamand, Maryam Aliakbarpour, Justin Y. Chen, Sandeep Silwal |
| 2026 | COLT | Compact Geometric Representations of Hierarchies. | Prashant Gokhale, Piotr Indyk, Yuhao Liu, Sandeep Silwal, Tony Chang Wang, Haike Xu |
| 2026 | SODA | On the Structure of Replicable Hypothesis Testers. | Anders Aamand, Maryam Aliakbarpour, Justin Y. Chen, Shyam Narayanan, Sandeep Silwal |
| 2025 | ALT | Optimal and learned algorithms for the online list update problem with Zipfian accesses. | Piotr Indyk, Isabelle Quaye, Ronitt Rubinfeld, Sandeep Silwal |
| 2025 | ICLR | Learning-Augmented Frequent Directions. | Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu |
| 2025 | ICLR | Beyond Worst-Case Dimensionality Reduction for Sparse Vectors. | Sandeep Silwal, David P. Woodruff, Qiuyi Zhang |
| 2025 | ICML | Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures. | Jie Gao, Rajesh Jayaram, Benedikt Kolbe, Shay Sapir, Chris Schwiegelshohn, Sandeep Silwal, Erik Waingarten |
| 2025 | ICML | Breaking the n1.5 Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition. | Anders Aamand, Justin Y. Chen, Mina Dalirrooyfard, Slobodan Mitrovic, Yuriy Nevmyvaka, Sandeep Silwal, Yinzhan Xu |
| 2025 | ICML | Improved Approximations for Hard Graph Problems using Predictions. | Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu |
| 2024 | ICLR | Efficiently Computing Similarities to Private Datasets. | Arturs Backurs, Zinan Lin, Sepideh Mahabadi, Sandeep Silwal, Jakub Tarnawski |
| 2023 | ICLR | Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation. | Ainesh Bakshi, Piotr Indyk, Praneeth Kacham, Sandeep Silwal, Samson Zhou |
| 2023 | ICLR | Robust Algorithms on Adaptive Inputs from Bounded Adversaries. | Yeshwanth Cherapanamjeri, Sandeep Silwal, David P. Woodruff, Fred Zhang, Qiuyi Zhang, Samson Zhou |
| 2023 | ICLR | KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals. | Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran, Seyed Mehran Kazemi |
| 2023 | ICML | Data Structures for Density Estimation. | Anders Aamand, Alexandr Andoni, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Sandeep Silwal |
| 2023 | SODA | Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time. | Yeshwanth Cherapanamjeri, Sandeep Silwal, David P. Woodruff, Samson Zhou |
| 2022 | FOCS | Motif Cut Sparsifiers. | Michael Kapralov, Mikhail Makarov, Sandeep Silwal, Christian Sohler, Jakab Tardos |
| 2022 | ICLR | Triangle and Four Cycle Counting with Predictions in Graph Streams. | Justin Y. Chen, Talya Eden, Piotr Indyk, Honghao Lin, Shyam Narayanan, Ronitt Rubinfeld, Sandeep Silwal, Tal Wagner, David P. Woodruff, Michael Zhang |
| 2022 | ICLR | Learning-Augmented $k$-means Clustering. | Jon C. Ergun, Zhili Feng, Sandeep Silwal, David P. Woodruff, Samson Zhou |
| 2022 | ICML | Hardness and Algorithms for Robust and Sparse Optimization. | Eric Price, Sandeep Silwal, Samson Zhou |
| 2022 | ICML | Faster Fundamental Graph Algorithms via Learned Predictions. | Justin Y. Chen, Sandeep Silwal, Ali Vakilian, Fred Zhang |
| 2022 | PODS | The White-Box Adversarial Data Stream Model. | Mikls Ajtai, Vladimir Braverman, T. S. Jayram, Sandeep Silwal, Alec Sun, David P. Woodruff, Samson Zhou |
| 2021 | ICLR | Learning-based Support Estimation in Sublinear Time. | Talya Eden, Piotr Indyk, Shyam Narayanan, Ronitt Rubinfeld, Sandeep Silwal, Tal Wagner |
| 2021 | ICML | Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clustering. | Shyam Narayanan, Sandeep Silwal, Piotr Indyk, Or Zamir |
| 2020 | ICALP | Property Testing of LP-Type Problems. | Rogers Epstein, Sandeep Silwal |