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ORCIDSuprovat Ghoshal
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2020 – today
- 2024
[c17]Vincent Cohen-Addad, Chenglin Fan, Suprovat Ghoshal, Euiwoong Lee
, Arnaud de Mesmay, Alantha Newman, Tony Chang Wang:
A PTAS for ℓ0-Low Rank Approximation: Solving Dense CSPs over Reals. SODA 2024: 935-961- [c16]Suprovat Ghoshal, Anand Louis:
New Approximation Bounds for Small-Set Vertex Expansion. SODA 2024: 2363-2375 - [i23]Suprovat Ghoshal, Konstantin Makarychev, Yury Makarychev:
Constraint Satisfaction Problems with Advice. CoRR abs/2403.02212 (2024) - 2023
- [c15]Suprovat Ghoshal, Euiwoong Lee:
On Lifting Integrality Gaps to SSEH Hardness for Globally Constrained CSPs. FOCS 2023: 26-36 - [i22]Suprovat Ghoshal, Euiwoong Lee:
On Lifting Integrality Gaps to SSEH Hardness for Globally Constrained CSPs. CoRR abs/2308.09667 (2023) - [i21]Vincent Cohen-Addad, Chenglin Fan, Suprovat Ghoshal, Euiwoong Lee, Arnaud de Mesmay, Alantha Newman, Tony Chang Wang:
A PTAS for 𝓁0-Low Rank Approximation: Solving Dense CSPs over Reals. CoRR abs/2311.00892 (2023) - [i20]Suprovat Ghoshal, Anand Louis:
New Approximation Bounds for Small-Set Vertex Expansion. CoRR abs/2311.17001 (2023) - 2022
- [j2]Siddharth Barman, Omar Fawzi, Suprovat Ghoshal, Emirhan Gürpinar:
Tight approximation bounds for maximum multi-coverage. Math. Program. 192(1): 443-476 (2022) - [c14]Aadirupa Saha, Suprovat Ghoshal:
Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits. AISTATS 2022: 456-482 - [c13]Suprovat Ghoshal, Anand Louis:
Approximating CSPs with Outliers. APPROX/RANDOM 2022: 43:1-43:16 - [c12]Suprovat Ghoshal:
The Biased Homogeneous r-Lin Problem. APPROX/RANDOM 2022: 47:1-47:14 - [c11]Euiwoong Lee, Suprovat Ghoshal:
A characterization of approximability for biased CSPs. STOC 2022: 989-997 - [i19]Suprovat Ghoshal, Euiwoong Lee:
A Characterization of Approximability for Biased CSPs. CoRR abs/2201.04617 (2022) - [i18]Suprovat Ghoshal, Aadirupa Saha:
Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits. CoRR abs/2202.11795 (2022) - [i17]Suprovat Ghoshal, Anand Louis:
Approximating CSPs with Outliers. CoRR abs/2205.11328 (2022) - 2021
- [j1]Arnab Bhattacharyya, Édouard Bonnet, László Egri, Suprovat Ghoshal, Karthik C. S., Bingkai Lin, Pasin Manurangsi, Dániel Marx:
Parameterized Intractability of Even Set and Shortest Vector Problem. J. ACM 68(3): 16:1-16:40 (2021) - [c10]Suprovat Ghoshal, Anand Louis:
Approximation Algorithms and Hardness for Strong Unique Games. SODA 2021: 414-433 - [c9]Suprovat Ghoshal, Rishi Saket:
Hardness of learning DNFs using halfspaces. STOC 2021: 467-480 - 2020
- [c8]Arnab Bhattacharyya, L. Sunil Chandran, Suprovat Ghoshal:
Combinatorial Lower Bounds for 3-Query LDCs. ITCS 2020: 85:1-85:8 - [c7]Siddharth Barman, Omar Fawzi, Suprovat Ghoshal, Emirhan Gürpinar:
Tight Approximation Bounds for Maximum Multi-coverage. IPCO 2020: 66-77 - [i16]Suprovat Ghoshal, Anand Louis:
Approximation Algorithms and Hardness for Strong Unique Games. CoRR abs/2005.08918 (2020)
2010 – 2019
- 2019
- [c6]Suprovat Ghoshal, Anand Louis, Rahul Raychaudhury:
Approximation Algorithms for Partially Colorable Graphs. APPROX-RANDOM 2019: 28:1-28:20 - [i15]Siddharth Barman, Omar Fawzi, Suprovat Ghoshal, Emirhan Gürpinar:
Tight Approximation Bounds for Maximum Multi-Coverage. CoRR abs/1905.00640 (2019) - [i14]Suprovat Ghoshal, Anand Louis, Rahul Raychaudhury:
Approximation Algorithms for Partially Colorable Graphs. CoRR abs/1908.11631 (2019) - [i13]Arnab Bhattacharyya, Édouard Bonnet, László Egri, Suprovat Ghoshal, Karthik C. S., Bingkai Lin, Pasin Manurangsi, Dániel Marx:
Parameterized Intractability of Even Set and Shortest Vector Problem. CoRR abs/1909.01986 (2019) - [i12]Suprovat Ghoshal, Rishi Saket:
Hardness of Learning DNFs using Halfspaces. CoRR abs/1911.06358 (2019) - [i11]Arnab Bhattacharyya, L. Sunil Chandran, Suprovat Ghoshal:
Combinatorial lower bounds for 3-query LDCs. CoRR abs/1911.10698 (2019) - [i10]Arnab Bhattacharyya, Édouard Bonnet, László Egri, Suprovat Ghoshal, Karthik C. S., Bingkai Lin, Pasin Manurangsi, Dániel Marx:
Parameterized Intractability of Even Set and Shortest Vector Problem. Electron. Colloquium Comput. Complex. TR19 (2019) - [i9]Arnab Bhattacharyya, Philips George John, Suprovat Ghoshal, Raghu Meka:
Average Bias and Polynomial Sources. Electron. Colloquium Comput. Complex. TR19 (2019) - [i8]Suprovat Ghoshal, Rishi Saket:
Hardness of Learning DNFs using Halfspaces. Electron. Colloquium Comput. Complex. TR19 (2019) - 2018
- [c5]Arnab Bhattacharyya, Suprovat Ghoshal, Rishi Saket:
Hardness of Learning Noisy Halfspaces using Polynomial Thresholds. COLT 2018: 876-917 - [c4]Arnab Bhattacharyya, Suprovat Ghoshal, Karthik C. S., Pasin Manurangsi:
Parameterized Intractability of Even Set and Shortest Vector Problem from Gap-ETH. ICALP 2018: 17:1-17:15 - [c3]Siddharth Barman, Arnab Bhattacharyya, Suprovat Ghoshal:
Testing Sparsity over Known and Unknown Bases. ICML 2018: 500-509 - [i7]Arnab Bhattacharyya, Suprovat Ghoshal, Karthik C. S., Pasin Manurangsi:
Parameterized Intractability of Even Set and Shortest Vector Problem from Gap-ETH. CoRR abs/1803.09717 (2018) - [i6]Arnab Bhattacharyya, Suprovat Ghoshal, Karthik C. S., Pasin Manurangsi:
Parameterized Intractability of Even Set and Shortest Vector Problem from Gap-ETH. Electron. Colloquium Comput. Complex. TR18 (2018) - 2017
- [i5]Arnab Bhattacharyya, Suprovat Ghoshal, Rishi Saket:
Hardness of learning noisy halfspaces using polynomial thresholds. CoRR abs/1707.01795 (2017) - [i4]Arnab Bhattacharyya, Suprovat Ghoshal, Rishi Saket:
Hardness of learning noisy halfspaces using polynomial thresholds. Electron. Colloquium Comput. Complex. TR17 (2017) - 2016
- [c2]Arnab Bhattacharyya, Ameet Gadekar, Suprovat Ghoshal, Rishi Saket:
On the Hardness of Learning Sparse Parities. ESA 2016: 11:1-11:17 - [i3]Siddharth Barman, Arnab Bhattacharyya, Suprovat Ghoshal:
The Dictionary Testing Problem. CoRR abs/1608.01275 (2016) - 2015
- [c1]Arun Rajkumar, Suprovat Ghoshal, Lek-Heng Lim, Shivani Agarwal:
Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top. ICML 2015: 665-673 - [i2]Arnab Bhattacharyya, Ameet Gadekar, Suprovat Ghoshal, Rishi Saket:
On the hardness of learning sparse parities. CoRR abs/1511.08270 (2015) - [i1]Arnab Bhattacharyya, Ameet Gadekar, Suprovat Ghoshal, Rishi Saket:
On the hardness of learning sparse parities. Electron. Colloquium Comput. Complex. TR15 (2015)
Coauthor Index
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