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Parikshit Gopalan
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2020 – today
- 2024
- [c54]Parikshit Gopalan, Lunjia Hu, Guy N. Rothblum:
On Computationally Efficient Multi-Class Calibration. COLT 2024: 1983-2026 - [c53]Parikshit Gopalan, Princewill Okoroafor, Prasad Raghavendra, Abhishek Sherry, Mihir Singhal:
Omnipredictors for regression and the approximate rank of convex functions. COLT 2024: 2027-2070 - [c52]Jaroslaw Blasiok, Parikshit Gopalan, Lunjia Hu, Adam Tauman Kalai, Preetum Nakkiran:
Loss Minimization Yields Multicalibration for Large Neural Networks. ITCS 2024: 17:1-17:21 - [i62]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) - [i61]Parikshit Gopalan, Lunjia Hu, Guy N. Rothblum:
On Computationally Efficient Multi-Class Calibration. CoRR abs/2402.07821 (2024) - 2023
- [c51]Parikshit Gopalan, Lunjia Hu, Michael P. Kim, Omer Reingold, Udi Wieder:
Loss Minimization Through the Lens Of Outcome Indistinguishability. ITCS 2023: 60:1-60:20 - [c50]Jaroslaw Blasiok, Parikshit Gopalan, Lunjia Hu, Preetum Nakkiran:
When Does Optimizing a Proper Loss Yield Calibration? NeurIPS 2023 - [c49]Aravind Gollakota, Parikshit Gopalan, Adam R. Klivans, Konstantinos Stavropoulos:
Agnostically Learning Single-Index Models using Omnipredictors. NeurIPS 2023 - [c48]Parikshit Gopalan, Michael P. Kim, Omer Reingold:
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration. NeurIPS 2023 - [c47]Jaroslaw Blasiok, Parikshit Gopalan, Lunjia Hu, Preetum Nakkiran:
A Unifying Theory of Distance from Calibration. STOC 2023: 1727-1740 - [i60]Parikshit Gopalan, Michael P. Kim, Omer Reingold:
Characterizing notions of omniprediction via multicalibration. CoRR abs/2302.06726 (2023) - [i59]Jaroslaw Blasiok, Parikshit Gopalan, Lunjia Hu, Adam Tauman Kalai, Preetum Nakkiran:
Loss minimization yields multicalibration for large neural networks. CoRR abs/2304.09424 (2023) - [i58]Jaroslaw Blasiok, Parikshit Gopalan, Lunjia Hu, Preetum Nakkiran:
When Does Optimizing a Proper Loss Yield Calibration? CoRR abs/2305.18764 (2023) - [i57]Aravind Gollakota, Parikshit Gopalan, Adam R. Klivans, Konstantinos Stavropoulos:
Agnostically Learning Single-Index Models using Omnipredictors. CoRR abs/2306.10615 (2023) - 2022
- [j27]Mihai Budiu, Pratiksha Thaker, Parikshit Gopalan, Udi Wieder, Matei Zaharia:
Overlook: Differentially Private Exploratory Visualization for Big Data. J. Priv. Confidentiality 12(1) (2022) - [c46]Parikshit Gopalan, Omer Reingold, Vatsal Sharan, Udi Wieder:
Multicalibrated Partitions for Importance Weights. ALT 2022: 408-435 - [c45]Parikshit Gopalan, Michael P. Kim, Mihir Singhal, Shengjia Zhao:
Low-Degree Multicalibration. COLT 2022: 3193-3234 - [c44]Parikshit Gopalan, Adam Tauman Kalai, Omer Reingold, Vatsal Sharan, Udi Wieder:
Omnipredictors. ITCS 2022: 79:1-79:21 - [i56]Parikshit Gopalan, Nina Narodytska, Omer Reingold, Vatsal Sharan, Udi Wieder:
KL Divergence Estimation with Multi-group Attribution. CoRR abs/2202.13576 (2022) - [i55]Parikshit Gopalan, Michael P. Kim, Mihir Singhal, Shengjia Zhao:
Low-Degree Multicalibration. CoRR abs/2203.01255 (2022) - [i54]Parikshit Gopalan, Lunjia Hu, Michael P. Kim, Omer Reingold, Udi Wieder:
Loss Minimization through the Lens of Outcome Indistinguishability. CoRR abs/2210.08649 (2022) - [i53]Jaroslaw Blasiok, Parikshit Gopalan, Lunjia Hu, Preetum Nakkiran:
A Unifying Theory of Distance from Calibration. CoRR abs/2211.16886 (2022) - 2021
- [i52]Parikshit Gopalan, Omer Reingold, Vatsal Sharan, Udi Wieder:
Multicalibrated Partitions for Importance Weights. CoRR abs/2103.05853 (2021) - [i51]Parikshit Gopalan, Adam Tauman Kalai, Omer Reingold, Vatsal Sharan, Udi Wieder:
Omnipredictors. CoRR abs/2109.05389 (2021) - 2020
- [j26]Parikshit Gopalan, Amir Yehudayoff:
Concentration for Limited Independence via Inequalities for the Elementary Symmetric Polynomials. Theory Comput. 16: 1-29 (2020) - [c43]Parikshit Gopalan, Roie Levin, Udi Wieder:
Finding Skewed Subcubes Under a Distribution. ITCS 2020: 84:1-84:30 - [i50]Pratiksha Thaker, Mihai Budiu, Parikshit Gopalan, Udi Wieder, Matei Zaharia:
Overlook: Differentially Private Exploratory Visualization for Big Data. CoRR abs/2006.12018 (2020)
2010 – 2019
- 2019
- [j25]Mihai Budiu, Parikshit Gopalan, Lalith Suresh, Udi Wieder, Han Kruiger, Marcos K. Aguilera:
Hillview: A trillion-cell spreadsheet for big data. Proc. VLDB Endow. 12(11): 1442-1457 (2019) - [c42]Parikshit Gopalan, Vatsal Sharan, Udi Wieder:
PIDForest: Anomaly Detection via Partial Identification. NeurIPS 2019: 15783-15793 - [i49]Mihai Budiu, Parikshit Gopalan, Lalith Suresh, Udi Wieder, Han Kruiger, Marcos K. Aguilera:
Hillview: A trillion-cell spreadsheet for big data. CoRR abs/1907.04827 (2019) - [i48]Parikshit Gopalan, Roie Levin, Udi Wieder:
Finding Skewed Subcubes Under a Distribution. CoRR abs/1911.07378 (2019) - [i47]Parikshit Gopalan, Vatsal Sharan, Udi Wieder:
PIDForest: Anomaly Detection via Partial Identification. CoRR abs/1912.03582 (2019) - 2018
- [j24]Parikshit Gopalan, Daniel M. Kane, Raghu Meka:
Pseudorandomness via the Discrete Fourier Transform. SIAM J. Comput. 47(6): 2451-2487 (2018) - [j23]Parikshit Gopalan, Noam Nisan, Tim Roughgarden:
Public Projects, Boolean Functions, and the Borders of Border's Theorem. ACM Trans. Economics and Comput. 6(3-4): 18:1-18:21 (2018) - [c41]Vatsal Sharan, Parikshit Gopalan, Udi Wieder:
Efficient Anomaly Detection via Matrix Sketching. NeurIPS 2018: 8080-8091 - [c40]Lalith Suresh, Dahlia Malkhi, Parikshit Gopalan, Ivan Porto Carreiro, Zeeshan Lokhandwala:
Stable and Consistent Membership at Scale with Rapid. USENIX ATC 2018: 387-400 - [i46]Lalith Suresh, Dahlia Malkhi, Parikshit Gopalan, Ivan Porto Carreiro, Zeeshan Lokhandwala:
Stable and Consistent Membership at Scale with Rapid. CoRR abs/1803.03620 (2018) - [i45]Parikshit Gopalan, Vatsal Sharan, Udi Wieder:
Faster Anomaly Detection via Matrix Sketching. CoRR abs/1804.03065 (2018) - 2017
- [c39]Parikshit Gopalan, Guangda Hu, Swastik Kopparty, Shubhangi Saraf, Carol Wang, Sergey Yekhanin:
Maximally Recoverable Codes for Grid-like Topologies. SODA 2017: 2092-2108 - 2016
- [c38]Parikshit Gopalan, Rocco A. Servedio, Avi Wigderson:
Degree and Sensitivity: Tails of Two Distributions. CCC 2016: 13:1-13:23 - [c37]Parikshit Gopalan, Noam Nisan, Rocco A. Servedio, Kunal Talwar, Avi Wigderson:
Smooth Boolean Functions are Easy: Efficient Algorithms for Low-Sensitivity Functions. ITCS 2016: 59-70 - [i44]Parikshit Gopalan, Rocco A. Servedio, Avishay Tal, Avi Wigderson:
Degree and Sensitivity: tails of two distributions. CoRR abs/1604.07432 (2016) - [i43]Parikshit Gopalan, Guangda Hu, Shubhangi Saraf, Carol Wang, Sergey Yekhanin:
Maximally Recoverable Codes for Grid-like Topologies. CoRR abs/1605.05412 (2016) - [i42]Parikshit Gopalan, Rocco A. Servedio, Avishay Tal, Avi Wigderson:
Degree and Sensitivity: tails of two distributions. Electron. Colloquium Comput. Complex. TR16 (2016) - 2015
- [j22]Boaz Barak, Parikshit Gopalan, Johan Håstad, Raghu Meka, Prasad Raghavendra, David Steurer:
Making the Long Code Shorter. SIAM J. Comput. 44(5): 1287-1324 (2015) - [c36]Parikshit Gopalan, Daniel M. Kane, Raghu Meka:
Pseudorandomness via the Discrete Fourier Transform. FOCS 2015: 903-922 - [c35]Parikshit Gopalan, Noam Nisan, Tim Roughgarden:
Public Projects, Boolean Functions, and the Borders of Border's Theorem. EC 2015: 395 - [i41]Parikshit Gopalan, Noam Nisan, Tim Roughgarden:
Public projects, Boolean functions and the borders of Border's theorem. CoRR abs/1504.07687 (2015) - [i40]Parikshit Gopalan, Daniel M. Kane, Raghu Meka:
Pseudorandomness via the discrete Fourier transform. CoRR abs/1506.04350 (2015) - [i39]Parikshit Gopalan, Noam Nisan, Rocco A. Servedio, Kunal Talwar, Avi Wigderson:
Smooth Boolean functions are easy: efficient algorithms for low-sensitivity functions. CoRR abs/1508.02420 (2015) - [i38]Parikshit Gopalan, Noam Nisan, Rocco A. Servedio, Kunal Talwar, Avi Wigderson:
Smooth Boolean functions are easy: efficient algorithms for low-sensitivity functions. Electron. Colloquium Comput. Complex. TR15 (2015) - 2014
- [j21]Parikshit Gopalan:
Constructing Ramsey graphs from Boolean function representations. Comb. 34(2): 173-206 (2014) - [j20]Parikshit Gopalan, Cheng Huang, Bob Jenkins, Sergey Yekhanin:
Explicit Maximally Recoverable Codes With Locality. IEEE Trans. Inf. Theory 60(9): 5245-5256 (2014) - [c34]Parikshit Gopalan, Salil P. Vadhan, Yuan Zhou:
Locally testable codes and cayley graphs. ITCS 2014: 81-92 - [i37]Parikshit Gopalan, Amir Yehudayoff:
Inequalities and tail bounds for elementary symmetric polynomial. CoRR abs/1402.3543 (2014) - [i36]Parikshit Gopalan, Daniel M. Kane, Raghu Meka:
Pseudorandomness for concentration bounds and signed majorities. CoRR abs/1411.4584 (2014) - [i35]Parikshit Gopalan, Amir Yehudayoff:
Inequalities and tail bounds for elementary symmetric polynomials. Electron. Colloquium Comput. Complex. TR14 (2014) - 2013
- [j19]Parikshit Gopalan, Raghu Meka, Omer Reingold:
DNF sparsification and a faster deterministic counting algorithm. Comput. Complex. 22(2): 275-310 (2013) - [j18]Parikshit Gopalan, Raghu Meka, Omer Reingold, David Zuckerman:
Pseudorandom Generators for Combinatorial Shapes. SIAM J. Comput. 42(3): 1051-1076 (2013) - [j17]Parikshit Gopalan:
A Fourier-Analytic Approach to Reed-Muller Decoding. IEEE Trans. Inf. Theory 59(11): 7747-7760 (2013) - [c33]Rodolfo Azevedo, John D. Davis, Karin Strauss, Parikshit Gopalan, Mark S. Manasse, Sergey Yekhanin:
Zombie memory: extending memory lifetime by reviving dead blocks. ISCA 2013: 452-463 - [i34]Parikshit Gopalan, Cheng Huang, Bob Jenkins, Sergey Yekhanin:
Explicit Maximally Recoverable Codes with Locality. CoRR abs/1307.4150 (2013) - [i33]Parikshit Gopalan, Salil P. Vadhan, Yuan Zhou:
Locally Testable Codes and Cayley Graphs. CoRR abs/1308.5158 (2013) - [i32]Parikshit Gopalan, Cheng Huang, Bob Jenkins, Sergey Yekhanin:
Explicit Maximally Recoverable Codes with Locality. Electron. Colloquium Comput. Complex. TR13 (2013) - [i31]Parikshit Gopalan, Salil P. Vadhan, Yuan Zhou:
Locally Testable Codes and Cayley Graphs. Electron. Colloquium Comput. Complex. TR13 (2013) - 2012
- [j16]Parikshit Gopalan, Cheng Huang, Huseyin Simitci, Sergey Yekhanin:
On the Locality of Codeword Symbols. IEEE Trans. Inf. Theory 58(11): 6925-6934 (2012) - [c32]Parikshit Gopalan, Raghu Meka, Omer Reingold:
DNF Sparsification and a Faster Deterministic Counting Algorithm. CCC 2012: 126-135 - [c31]Parikshit Gopalan, Raghu Meka, Omer Reingold, Luca Trevisan, Salil P. Vadhan:
Better Pseudorandom Generators from Milder Pseudorandom Restrictions. FOCS 2012: 120-129 - [c30]Boaz Barak, Parikshit Gopalan, Johan Håstad, Raghu Meka, Prasad Raghavendra, David Steurer:
Making the Long Code Shorter. FOCS 2012: 370-379 - [c29]Cheng Huang, Huseyin Simitci, Yikang Xu, Aaron Ogus, Brad Calder, Parikshit Gopalan, Jin Li, Sergey Yekhanin:
Erasure Coding in Windows Azure Storage. USENIX ATC 2012: 15-26 - [c28]Parikshit Gopalan, Adam R. Klivans, Raghu Meka:
Learning Functions of Halfspaces using Prefix Covers. COLT 2012: 15.1-15.10 - [i30]Parikshit Gopalan, Raghu Meka, Omer Reingold:
DNF Sparsification and a Faster Deterministic Counting Algorithm. CoRR abs/1205.3534 (2012) - [i29]Parikshit Gopalan, Raghu Meka, Omer Reingold, Luca Trevisan, Salil P. Vadhan:
Better Pseudorandom Generators from Milder Pseudorandom Restrictions. CoRR abs/1210.0049 (2012) - [i28]Parikshit Gopalan, Raghu Meka, Omer Reingold:
DNF Sparsification and a Faster Deterministic Counting. Electron. Colloquium Comput. Complex. TR12 (2012) - [i27]Parikshit Gopalan, Raghu Meka, Omer Reingold, Luca Trevisan, Salil P. Vadhan:
Better pseudorandom generators from milder pseudorandom restrictions. Electron. Colloquium Comput. Complex. TR12 (2012) - 2011
- [j15]Parikshit Gopalan, Venkatesan Guruswami:
Hardness amplification within NP against deterministic algorithms. J. Comput. Syst. Sci. 77(1): 107-121 (2011) - [j14]Parikshit Gopalan, Ryan O'Donnell, Rocco A. Servedio, Amir Shpilka, Karl Wimmer:
Testing Fourier Dimensionality and Sparsity. SIAM J. Comput. 40(4): 1075-1100 (2011) - [j13]Zeev Dvir, Parikshit Gopalan, Sergey Yekhanin:
Matching Vector Codes. SIAM J. Comput. 40(4): 1154-1178 (2011) - [j12]Parikshit Gopalan, Venkatesan Guruswami, Prasad Raghavendra:
List Decoding Tensor Products and Interleaved Codes. SIAM J. Comput. 40(5): 1432-1462 (2011) - [c27]Parikshit Gopalan, Adam R. Klivans, Raghu Meka, Daniel Stefankovic, Santosh S. Vempala, Eric Vigoda:
An FPTAS for #Knapsack and Related Counting Problems. FOCS 2011: 817-826 - [c26]Parikshit Gopalan, Raghu Meka, Omer Reingold, David Zuckerman:
Pseudorandom generators for combinatorial shapes. STOC 2011: 253-262 - [i26]Parikshit Gopalan, Cheng Huang, Huseyin Simitci, Sergey Yekhanin:
On the Locality of Codeword Symbols. CoRR abs/1106.3625 (2011) - [i25]Boaz Barak, Parikshit Gopalan, Johan Håstad, Raghu Meka, Prasad Raghavendra, David Steurer:
Making the long code shorter, with applications to the Unique Games Conjecture. CoRR abs/1111.0405 (2011) - [i24]Boaz Barak, Parikshit Gopalan, Johan Håstad, Raghu Meka, Prasad Raghavendra, David Steurer:
Making the long code shorter, with applications to the Unique Games Conjecture. Electron. Colloquium Comput. Complex. TR11 (2011) - [i23]Parikshit Gopalan, Cheng Huang, Huseyin Simitci, Sergey Yekhanin:
On the Locality of Codeword Symbols. Electron. Colloquium Comput. Complex. TR11 (2011) - 2010
- [j11]Parikshit Gopalan, Amir Shpilka, Shachar Lovett:
The Complexity of Boolean Functions in Different Characteristics. Comput. Complex. 19(2): 235-263 (2010) - [j10]Parikshit Gopalan, Subhash Khot, Rishi Saket:
Hardness of Reconstructing Multivariate Polynomials over Finite Fields. SIAM J. Comput. 39(6): 2598-2621 (2010) - [j9]Ilias Diakonikolas, Parikshit Gopalan, Ragesh Jaiswal, Rocco A. Servedio, Emanuele Viola:
Bounded Independence Fools Halfspaces. SIAM J. Comput. 39(8): 3441-3462 (2010) - [j8]Anna Gál, Parikshit Gopalan:
Lower Bounds on Streaming Algorithms for Approximating the Length of the Longest Increasing Subsequence. SIAM J. Comput. 39(8): 3463-3479 (2010) - [c25]Parikshit Gopalan, Rocco A. Servedio:
Learning and Lower Bounds for AC0 with Threshold Gates. APPROX-RANDOM 2010: 588-601 - [c24]Parikshit Gopalan, Ryan O'Donnell, Yi Wu, David Zuckerman:
Fooling Functions of Halfspaces under Product Distributions. CCC 2010: 223-234 - [c23]Parikshit Gopalan:
A Fourier-Analytic Approach to Reed-Muller Decoding. FOCS 2010: 685-694 - [c22]Zeev Dvir, Parikshit Gopalan, Sergey Yekhanin:
Matching Vector Codes. FOCS 2010: 705-714 - [i22]Parikshit Gopalan, Ryan O'Donnell, Yi Wu, David Zuckerman:
Fooling functions of halfspaces under product distributions. CoRR abs/1001.1593 (2010) - [i21]Parikshit Gopalan, Adam R. Klivans, Raghu Meka:
Polynomial-Time Approximation Schemes for Knapsack and Related Counting Problems using Branching Programs. CoRR abs/1008.3187 (2010) - [i20]Zeev Dvir, Parikshit Gopalan, Sergey Yekhanin:
Matching Vector Codes. Electron. Colloquium Comput. Complex. TR10 (2010) - [i19]Parikshit Gopalan, Adam R. Klivans, Raghu Meka:
Polynomial-Time Approximation Schemes for Knapsack and Related Counting Problems using Branching Programs. Electron. Colloquium Comput. Complex. TR10 (2010) - [i18]Parikshit Gopalan, Raghu Meka, Omer Reingold, David Zuckerman:
Pseudorandom Generators for Combinatorial Shapes. Electron. Colloquium Comput. Complex. TR10 (2010) - [i17]Parikshit Gopalan, Rocco A. Servedio:
Learning and Lower Bounds for AC0 with Threshold Gates. Electron. Colloquium Comput. Complex. TR10 (2010) - [i16]Yi Wu, Ryan O'Donnell, David Zuckerman, Parikshit Gopalan:
Fooling functions of halfspaces under product distributions. Electron. Colloquium Comput. Complex. TR10 (2010)
2000 – 2009
- 2009
- [j7]Parikshit Gopalan, Phokion G. Kolaitis, Elitza N. Maneva, Christos H. Papadimitriou:
The Connectivity of Boolean Satisfiability: Computational and Structural Dichotomies. SIAM J. Comput. 38(6): 2330-2355 (2009) - [j6]Vitaly Feldman, Parikshit Gopalan, Subhash Khot, Ashok Kumar Ponnuswami:
On Agnostic Learning of Parities, Monomials, and Halfspaces. SIAM J. Comput. 39(2): 606-645 (2009) - [c21]Parikshit Gopalan, Shachar Lovett, Amir Shpilka:
On the Complexity of Boolean Functions in Different Characteristics. CCC 2009: 173-183 - [c20]Ilias Diakonikolas, Parikshit Gopalan, Ragesh Jaiswal, Rocco A. Servedio, Emanuele Viola:
Bounded Independence Fools Halfspaces. FOCS 2009: 171-180 - [c19]Parikshit Gopalan, Ryan O'Donnell, Rocco A. Servedio, Amir Shpilka, Karl Wimmer:
Testing Fourier Dimensionality and Sparsity. ICALP (1) 2009: 500-512 - [c18]Parikshit Gopalan, Jaikumar Radhakrishnan:
Finding duplicates in a data stream. SODA 2009: 402-411 - [c17]Parikshit Gopalan, Venkatesan Guruswami, Prasad Raghavendra:
List decoding tensor products and interleaved codes. STOC 2009: 13-22 - [i15]Ilias Diakonikolas, Parikshit Gopalan, Ragesh Jaiswal, Rocco A. Servedio, Emanuele Viola:
Bounded Independence Fools Halfspaces. CoRR abs/0902.3757 (2009) - [i14]Ilias Diakonikolas, Parikshit Gopalan, Ragesh Jaiswal, Rocco A. Servedio, Emanuele Viola:
Bounded Independence Fools Halfspaces. Electron. Colloquium Comput. Complex. TR09 (2009) - [i13]Parikshit Gopalan:
A Fourier-analytic approach to Reed-Muller decoding. Electron. Colloquium Comput. Complex. TR09 (2009) - [i12]Parikshit Gopalan:
A note on Efremenko's Locally Decodable Codes. Electron. Colloquium Comput. Complex. TR09 (2009) - [i11]Parikshit Gopalan, Shachar Lovett, Amir Shpilka:
On the Complexity of Boolean Functions in Different Characteristics. Electron. Colloquium Comput. Complex. TR09 (2009) - 2008
- [j5]Parikshit Gopalan, Venkatesan Guruswami, Richard J. Lipton:
Algorithms for Modular Counting of Roots of Multivariate Polynomials. Algorithmica 50(4): 479-496 (2008) - [j4]Saugata Basu, Nayantara Bhatnagar, Parikshit Gopalan, Richard J. Lipton:
Polynomials that Sign Represent Parity and Descartes' Rule of Signs. Comput. Complex. 17(3): 377-406 (2008) - [j3]Parikshit Gopalan:
Query-Efficient Algorithms for Polynomial Interpolation over Composites. SIAM J. Comput. 38(3): 1033-1057 (2008) - [c16]Parikshit Gopalan, Venkatesan Guruswami:
Hardness Amplification within NP against Deterministic Algorithms. CCC 2008: 19-30 - [c15]Parikshit Gopalan, Adam Kalai, Adam R. Klivans:
A Query Algorithm for Agnostically Learning DNF?. COLT 2008: 515-516 - [c14]Parikshit Gopalan, Adam R. Klivans, David Zuckerman:
List-decoding reed-muller codes over small fields. STOC 2008: 265-274 - [c13]Parikshit Gopalan, Adam Tauman Kalai, Adam R. Klivans:
Agnostically learning decision trees. STOC 2008: 527-536 - [i10]Parikshit Gopalan, Venkatesan Guruswami, Prasad Raghavendra:
List Decoding Tensor Products and Interleaved Codes. CoRR abs/0811.4395 (2008) - [i9]Parikshit Gopalan, Venkatesan Guruswami, Prasad Raghavendra:
List Decoding Tensor Products and Interleaved Codes. Electron. Colloquium Comput. Complex. TR08 (2008) - 2007
- [c12]Anna Gál, Parikshit Gopalan:
Lower Bounds on Streaming Algorithms for Approximating the Length of the Longest Increasing Subsequence. FOCS 2007: 294-304 - [c11]Parikshit Gopalan, Subhash Khot, Rishi Saket:
Hardness of Reconstructing Multivariate Polynomials over Finite Fields. FOCS 2007: 349-359 - [c10]Parikshit Gopalan, T. S. Jayram, Robert Krauthgamer, Ravi Kumar:
Estimating the sortedness of a data stream. SODA 2007: 318-327 - [i8]Parikshit Gopalan, Venkatesan Guruswami:
Deterministic Hardness Amplification via Local GMD Decoding. Electron. Colloquium Comput. Complex. TR07 (2007) - [i7]Parikshit Gopalan, Subhash Khot, Rishi Saket:
Hardness of Reconstructing Multivariate Polynomials over Finite Fields. Electron. Colloquium Comput. Complex. TR07 (2007) - 2006
- [j2]