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ORCIDMihir Singhal
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2020 – today
- 2024
[c3]Parikshit Gopalan, Princewill Okoroafor, Prasad Raghavendra, Abhishek Sherry, Mihir Singhal:
Omnipredictors for regression and the approximate rank of convex functions. COLT 2024: 2027-2070- [c2]Slobodan Mitrovic, Ronitt Rubinfeld, Mihir Singhal:
Locally Computing Edge Orientations. ESA 2024: 89:1-89:17 - [i6]Parikshit Gopalan, Princewill Okoroafor, Prasad Raghavendra, Abhishek Shetty, Mihir Singhal:
Omnipredictors for Regression and the Approximate Rank of Convex Functions. CoRR abs/2401.14645 (2024) - [i5]Meghal Gupta, Mihir Singhal, Hongxun Wu:
Optimal quantile estimation: beyond the comparison model. CoRR abs/2404.03847 (2024) - [i4]Meghal Gupta, Venkatesan Guruswami, Mihir Singhal:
Tight bounds for stream decodable error-correcting codes. CoRR abs/2407.06446 (2024) - [i3]Meghal Gupta, Mihir Singhal, Hongxun Wu:
Optimal quantile estimation: beyond the comparison model. Electron. Colloquium Comput. Complex. TR24 (2024) - 2023
- [j4]Mihir Singhal
:
Unimodality of a refinement of Lassalle's sequence. Discret. Math. 346(7): 113317 (2023) - 2022
- [j3]Mihir Singhal:
Erdős-Littlewood-Offord problem with arbitrary probabilities. Discret. Math. 345(11): 113005 (2022) - [c1]Parikshit Gopalan, Michael P. Kim, Mihir Singhal, Shengjia Zhao:
Low-Degree Multicalibration. COLT 2022: 3193-3234 - [i2]Parikshit Gopalan, Michael P. Kim, Mihir Singhal, Shengjia Zhao:
Low-Degree Multicalibration. CoRR abs/2203.01255 (2022) - 2021
- [j2]Zachary Chroman, Matthew Kwan, Mihir Singhal:
Lower bounds for superpatterns and universal sequences. J. Comb. Theory A 182: 105467 (2021) - 2020
- [j1]Sualeh Asif, Michael J. Coulombe, Erik D. Demaine, Martin L. Demaine, Adam Hesterberg, Jayson Lynch, Mihir Singhal:
Tetris is NP-hard even with O(1) Rows or Columns. J. Inf. Process. 28: 942-958 (2020) - [i1]Sualeh Asif, Michael J. Coulombe, Erik D. Demaine, Martin L. Demaine, Adam Hesterberg, Jayson Lynch, Mihir Singhal:
Tetris is NP-hard even with $O(1)$ rows or columns. CoRR abs/2009.14336 (2020)
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