| 2026 | ICALP | Sublinear-Query Relative-Error Testing of Halfspaces. | Xi Chen, Anindya De, Yizhi Huang, Shivam Nadimpalli, Rocco A. Servedio, Tianqi Yang |
| 2026 | SODA | Halfspaces are hard to test with relative error. | Xi Chen, Anindya De, Yizhi Huang, Shivam Nadimpalli, Rocco A. Servedio, Tianqi Yang |
| 2026 | STOC | Testing Noisy Low-Degree Polynomials for Sparsity. | Yiqiao Bao, Anindya De, Shivam Nadimpalli, Rocco A. Servedio, Nathan White |
| 2026 | STOC | Sparsifying Suprema of Gaussian Processes. | Anindya De, Shivam Nadimpalli, Ryan O'Donnell, Rocco A. Servedio |
| 2025 | FOCS | Stochastic Knapsack without Relaxing the Capacity. | Anindya De, Sanjeev Khanna, Nathan White |
| 2025 | SODA | Relative-error monotonicity testing. | Xi Chen, Anindya De, Yizhi Huang, Yuhao Li, Shivam Nadimpalli, Rocco A. Servedio, Tianqi Yang |
| 2025 | SODA | Lower Bounds for Convexity Testing. | Xi Chen, Anindya De, Shivam Nadimpalli, Rocco A. Servedio, Erik Waingarten |
| 2024 | FOCS | Gaussian Approximation of Convex Sets by Intersections of Halfspaces. | Anindya De, Shivam Nadimpalli, Rocco A. Servedio |
| 2024 | SODA | Mildly Exponential Lower Bounds on Tolerant Testers for Monotonicity, Unateness, and Juntas. | Xi Chen, Anindya De, Yuhao Li, Shivam Nadimpalli, Rocco A. Servedio |
| 2024 | STOC | Detecting Low-Degree Truncation. | Anindya De, Huan Li, Shivam Nadimpalli, Rocco A. Servedio |
| 2023 | ALT | Reconstructing Ultrametric Trees from Noisy Experiments. | Eshwar Ram Arunachaleswaran, Anindya De, Sampath Kannan |
| 2023 | SODA | Approximate Trace Reconstruction from a Single Trace. | Xi Chen, Anindya De, Chin Ho Lee, Rocco A. Servedio, Sandip Sinha |
| 2023 | SODA | Testing Convex Truncation. | Anindya De, Shivam Nadimpalli, Rocco A. Servedio |
| 2022 | ALT | Algorithms for learning a mixture of linear classifiers. | Aidao Chen, Anindya De, Aravindan Vijayaraghavan |
| 2022 | SODA | Near-Optimal Average-Case Approximate Trace Reconstruction from Few Traces. | Xi Chen, Anindya De, Chin Ho Lee, Rocco A. Servedio, Sandip Sinha |
| 2022 | SODA | Approximating Sumset Size. | Anindya De, Shivam Nadimpalli, Rocco A. Servedio |
| 2021 | ALT | Learning a mixture of two subspaces over finite fields. | Aidao Chen, Anindya De, Aravindan Vijayaraghavan |
| 2021 | COLT | Reconstructing weighted voting schemes from partial information about their power indices. | Huck Bennett, Anindya De, Rocco A. Servedio, Emmanouil-Vasileios Vlatakis-Gkaragkounis |
| 2021 | COLT | Learning sparse mixtures of permutations from noisy information. | Anindya De, Ryan O'Donnell, Rocco A. Servedio |
| 2021 | COLT | Weak learning convex sets under normal distributions. | Anindya De, Rocco A. Servedio |
| 2021 | SODA | Polynomial-time trace reconstruction in the smoothed complexity model. | Xi Chen, Anindya De, Chin Ho Lee, Rocco A. Servedio, Sandip Sinha |
| 2021 | STOC | Robust testing of low dimensional functions. | Anindya De, Elchanan Mossel, Joe Neeman |
| 2020 | ICALP | An Efficient PTAS for Stochastic Load Balancing with Poisson Jobs. | Anindya De, Sanjeev Khanna, Huan Li, Hesam Nikpey |
| 2020 | SODA | Learning from satisfying assignments under continuous distributions. | Clment L. Canonne, Anindya De, Rocco A. Servedio |
| 2020 | SODA | Reconstruction under outliers for Fourier-sparse functions. | Xue Chen, Anindya De |
| 2020 | STOC | Testing noisy linear functions for sparsity. | Xue Chen, Anindya De, Rocco A. Servedio |
| 2019 | COLT | Is your function low dimensional? | Anindya De, Elchanan Mossel, Joe Neeman |
| 2019 | FOCS | Junta Correlation is Testable. | Anindya De, Elchanan Mossel, Joe Neeman |
| 2018 | FOCS | Learning Sums of Independent Random Variables with Sparse Collective Support. | Anindya De, Philip M. Long, Rocco A. Servedio |
| 2018 | SODA | Boolean function analysis meets stochastic optimization: An approximation scheme for stochastic knapsack. | Anindya De |
| 2018 | SODA | Non interactive simulation of correlated distributions is decidable. | Anindya De, Elchanan Mossel, Joe Neeman |
| 2017 | STOC | Optimal mean-based algorithms for trace reconstruction. | Anindya De, Ryan O'Donnell, Rocco A. Servedio |
| 2016 | FOCS | Noisy Population Recovery in Polynomial Time. | Anindya De, Michael E. Saks, Sijian Tang |
| 2016 | STOC | A size-free CLT for poisson multinomials and its applications. | Constantinos Daskalakis, Anindya De, Gautam Kamath, Christos Tzamos |
| 2015 | FOCS | Beyond the Central Limit theorem: Asymptotic Expansions and Pseudorandomness for Combinatorial Sums. | Anindya De |
| 2015 | SODA | Learning from satisfying assignments. | Anindya De, Ilias Diakonikolas, Rocco A. Servedio |
| 2015 | STOC | Boolean Function Monotonicity Testing Requires (Almost) n | Xi Chen, Anindya De, Rocco A. Servedio, Li-Yang Tan |
| 2014 | SODA | A Polynomial-time Approximation Scheme for Fault-tolerant Distributed Storage. | Constantinos Daskalakis, Anindya De, Ilias Diakonikolas, Ankur Moitra, Rocco A. Servedio |
| 2014 | STOC | Efficient deterministic approximate counting for low-degree polynomial threshold functions. | Anindya De, Rocco A. Servedio |
| 2013 | ICALP | A Robust Khintchine Inequality, and Algorithms for Computing Optimal Constants in Fourier Analysis and High-Dimensional Geometry. | Anindya De, Ilias Diakonikolas, Rocco A. Servedio |
| 2013 | STOC | Majority is stablest: discrete and SoS. | Anindya De, Elchanan Mossel, Joe Neeman |
| 2012 | ICALP | The Inverse Shapley Value Problem. | Anindya De, Ilias Diakonikolas, Rocco A. Servedio |
| 2012 | STOC | Nearly optimal solutions for the chow parameters problem and low-weight approximation of halfspaces. | Anindya De, Ilias Diakonikolas, Vitaly Feldman, Rocco A. Servedio |
| 2012 | TCC | Lower Bounds in Differential Privacy. | Anindya De |
| 2010 | CRYPTO | Time Space Tradeoffs for Attacks against One-Way Functions and PRGs. | Anindya De, Luca Trevisan, Madhur Tulsiani |
| 2010 | STOC | Near-optimal extractors against quantum storage. | Anindya De, Thomas Vidick |
| 2008 | STOC | Fast integer multiplication using modular arithmetic. | Anindya De, Piyush P. Kurur, Chandan Saha, Ramprasad Saptharishi |