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2020 – today
- 2024
[c39]Anand Brahmbhatt
, Mohith Pokala, Rishi Saket, Aravindan Raghuveer:
LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions. CIKM 2024: 4374-4381- [i25]Venkatesan Guruswami, Rishi Saket:
Hardness of Learning Boolean Functions from Label Proportions. CoRR abs/2403.19401 (2024) - [i24]Yukti Makhija, Priyanka Agrawal, Rishi Saket, Aravindan Raghuveer:
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels. CoRR abs/2404.04817 (2024) - 2023
- [c38]Jay Nandy, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer:
Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. CIKM 2023: 1887-1896 - [c37]Venkatesan Guruswami, Rishi Saket:
Hardness of Learning Boolean Functions from Label Proportions. FSTTCS 2023: 37:1-37:15 - [c36]Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer:
PAC Learning Linear Thresholds from Label Proportions. NeurIPS 2023 - [i23]Anand Brahmbhatt, Rishi Saket, Shreyas Havaldar, Anshul Nasery, Aravindan Raghuveer:
Label Differential Privacy via Aggregation. CoRR abs/2310.10092 (2023) - [i22]Anand Brahmbhatt, Mohith Pokala, Rishi Saket, Aravindan Raghuveer:
LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions. CoRR abs/2310.10096 (2023) - [i21]Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer:
PAC Learning Linear Thresholds from Label Proportions. CoRR abs/2310.10098 (2023) - 2022
- [c35]Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran:
On Combining Bags to Better Learn from Label Proportions. AISTATS 2022: 5913-5927 - [c34]Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer:
Domain-Agnostic Contrastive Representations for Learning from Label Proportions. CIKM 2022: 1542-1551 - [c33]Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran:
Multi-Variate Time Series Forecasting on Variable Subsets. KDD 2022: 76-86 - [c32]Rishi Saket:
Algorithms and Hardness for Learning Linear Thresholds from Label Proportions. NeurIPS 2022 - [i20]Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran:
Multi-Variate Time Series Forecasting on Variable Subsets. CoRR abs/2206.12626 (2022) - 2021
- [c31]Rishi Saket:
Learnability of Linear Thresholds from Label Proportions. NeurIPS 2021: 6555-6566 - [c30]Suprovat Ghoshal, Rishi Saket:
Hardness of learning DNFs using halfspaces. STOC 2021: 467-480 - 2020
- [c29]Rishi Saket, Nitin Singh, Pankaj Dayama, Vinayaka Pandit:
Smart Contract Protocol for Authenticity and Compliance with Anonymity on Hyperledger Fabric. IEEE ICBC 2020: 1-9
2010 – 2019
- 2019
- [i19]Suprovat Ghoshal, Rishi Saket:
Hardness of Learning DNFs using Halfspaces. CoRR abs/1911.06358 (2019) - [i18]Suprovat Ghoshal, Rishi Saket:
Hardness of Learning DNFs using Halfspaces. Electron. Colloquium Comput. Complex. TR19 (2019) - 2018
- [c28]Arnab Bhattacharyya, Suprovat Ghoshal, Rishi Saket:
Hardness of Learning Noisy Halfspaces using Polynomial Thresholds. COLT 2018: 876-917 - 2017
- [j8]Sreyash Kenkre, Vinayaka Pandit, Manish Purohit, Rishi Saket:
On the Approximability of Digraph Ordering. Algorithmica 78(4): 1182-1205 (2017) - [j7]Subhash Khot, Rishi Saket:
Hardness of Coloring 2-Colorable 12-Uniform Hypergraphs with 2(log n)Ømega(1) Colors. SIAM J. Comput. 46(1): 235-271 (2017) - [j6]Jop Briët, Oded Regev, Rishi Saket:
Tight Hardness of the Non-Commutative Grothendieck Problem. Theory Comput. 13(1): 1-24 (2017) - [c27]Alina Ene, Viswanath Nagarajan, Rishi Saket:
Approximation Algorithms for Stochastic k-TSP. FSTTCS 2017: 27:27-27:14 - [c26]Venkatesan Guruswami, Rishi Saket:
Hardness of Rainbow Coloring Hypergraphs. FSTTCS 2017: 33:33-33:15 - [i17]Arnab Bhattacharyya, Suprovat Ghoshal, Rishi Saket:
Hardness of learning noisy halfspaces using polynomial thresholds. CoRR abs/1707.01795 (2017) - [i16]Arnab Bhattacharyya, Suprovat Ghoshal, Rishi Saket:
Hardness of learning noisy halfspaces using polynomial thresholds. Electron. Colloquium Comput. Complex. TR17 (2017) - [i15]Venkatesan Guruswami, Rishi Saket:
Hardness of Rainbow Coloring Hypergraphs. Electron. Colloquium Comput. Complex. TR17 (2017) - 2016
- [j5]Venkatesan Guruswami, Prasad Raghavendra, Rishi Saket, Yi Wu:
Bypassing UGC from Some Optimal Geometric Inapproximability Results. ACM Trans. Algorithms 12(1): 6:1-6:25 (2016) - [c25]Arnab Bhattacharyya, Ameet Gadekar, Suprovat Ghoshal, Rishi Saket:
On the Hardness of Learning Sparse Parities. ESA 2016: 11:1-11:17 - [c24]Subhash Khot, Rishi Saket:
Hardness of Bipartite Expansion. ESA 2016: 55:1-55:17 - [i14]Alina Ene, Viswanath Nagarajan, Rishi Saket:
Approximation Algorithms for Stochastic k-TSP. CoRR abs/1610.01058 (2016) - [i13]Subhash Khot, Rishi Saket:
Approximating CSPs using LP Relaxation. Electron. Colloquium Comput. Complex. TR16 (2016) - 2015
- [j4]Venkatesan Guruswami, Sushant Sachdeva, Rishi Saket:
Inapproximability of Minimum Vertex Cover on k-Uniform k-Partite Hypergraphs. SIAM J. Discret. Math. 29(1): 36-58 (2015) - [c23]Sreyash Kenkre, Vinayaka Pandit, Manish Purohit, Rishi Saket:
On the Approximability of Digraph Ordering. ESA 2015: 792-803 - [c22]Jop Briët, Oded Regev, Rishi Saket:
Tight Hardness of the Non-commutative Grothendieck Problem. FOCS 2015: 1108-1122 - [c21]Subhash Khot, Rishi Saket:
Approximating CSPs Using LP Relaxation. ICALP (1) 2015: 822-833 - [i12]Sreyash Kenkre, Vinayaka Pandit, Manish Purohit, Rishi Saket:
On the Approximability of Digraph Ordering. CoRR abs/1507.00662 (2015) - [i11]Arnab Bhattacharyya, Ameet Gadekar, Suprovat Ghoshal, Rishi Saket:
On the hardness of learning sparse parities. CoRR abs/1511.08270 (2015) - [i10]Arnab Bhattacharyya, Ameet Gadekar, Suprovat Ghoshal, Rishi Saket:
On the hardness of learning sparse parities. Electron. Colloquium Comput. Complex. TR15 (2015) - 2014
- [c20]Rishi Saket:
Hardness of Finding Independent Sets in 2-Colorable Hypergraphs and of Satisfiable CSPs. CCC 2014: 78-89 - [c19]Subhash Khot, Rishi Saket:
Hardness of Coloring 2-Colorable 12-Uniform Hypergraphs with exp(log^{Omega(1)} n) Colors. FOCS 2014: 206-215 - [c18]Subhash Khot, Rishi Saket:
Hardness of Finding Independent Sets in 2-Colorable and Almost 2-Colorable Hypergraphs. SODA 2014: 1607-1625 - [i9]Subhash Khot, Rishi Saket:
Hardness of Coloring 2-Colorable 12-Uniform Hypergraphs with 2log nΩ(1) Colors. Electron. Colloquium Comput. Complex. TR14 (2014) - 2013
- [c17]Anupam Gupta, Satyen Kale, Viswanath Nagarajan, Rishi Saket, Baruch Schieber:
The Approximability of the Binary Paintshop Problem. APPROX-RANDOM 2013: 205-217 - [c16]Sushant Sachdeva, Rishi Saket:
Optimal Inapproximability for Scheduling Problems via Structural Hardness for Hypergraph Vertex Cover. CCC 2013: 219-229 - [i8]Rishi Saket:
A PTAS for the Classical Ising Spin Glass Problem on the Chimera Graph Structure. CoRR abs/1306.6943 (2013) - [i7]Subhash Khot, Rishi Saket:
Hardness of Finding Independent Sets in 2-Colorable and Almost 2-Colorable Hypergraphs. CoRR abs/1308.3247 (2013) - [i6]Rishi Saket:
Hardness of Finding Independent Sets in 2-Colorable Hypergraphs and of Satisfiable CSPs. CoRR abs/1312.2915 (2013) - [i5]Venkatesan Guruswami, Sushant Sachdeva, Rishi Saket:
Inapproximability of Minimum Vertex Cover on k-uniform k-partite Hypergraphs. Electron. Colloquium Comput. Complex. TR13 (2013) - 2012
- [c15]Rishi Saket, Maxim Sviridenko:
New and Improved Bounds for the Minimum Set Cover Problem. APPROX-RANDOM 2012: 288-300 - [c14]Subhash Khot, Rishi Saket:
Hardness of Finding Independent Sets in Almost q-Colorable Graphs. FOCS 2012: 380-389 - [c13]Inge Li Gørtz, Viswanath Nagarajan, Rishi Saket:
Stochastic Vehicle Routing with Recourse. ICALP (1) 2012: 411-423 - [c12]Venkatesan Guruswami, Prasad Raghavendra, Rishi Saket, Yi Wu:
Bypassing UGC from some optimal geometric inapproximability results. SODA 2012: 699-717 - [i4]Inge Li Gørtz, Viswanath Nagarajan, Rishi Saket:
Stochastic Vehicle Routing with Recourse. CoRR abs/1202.5797 (2012) - 2011
- [j3]Subhash Khot, Rishi Saket:
On the hardness of learning intersections of two halfspaces. J. Comput. Syst. Sci. 77(1): 129-141 (2011) - [c11]Sushant Sachdeva, Rishi Saket:
Nearly Optimal NP-Hardness of Vertex Cover on k-Uniform k-Partite Hypergraphs. APPROX-RANDOM 2011: 327-338 - [i3]Sushant Sachdeva, Rishi Saket:
Nearly Optimal NP-Hardness of Vertex Cover on k-Uniform k-Partite Hypergraphs. CoRR abs/1105.4175 (2011) - 2010
- [j2]Parikshit Gopalan, Subhash Khot, Rishi Saket:
Hardness of Reconstructing Multivariate Polynomials over Finite Fields. SIAM J. Comput. 39(6): 2598-2621 (2010) - [c10]Subhash Khot, Preyas Popat, Rishi Saket:
Approximate Lasserre Integrality Gap for Unique Games. APPROX-RANDOM 2010: 298-311 - [c9]Rishi Saket:
Quasi-Random PCP and Hardness of 2-Catalog Segmentation. FSTTCS 2010: 447-458 - [c8]Venkatesan Guruswami, Rishi Saket:
On the Inapproximability of Vertex Cover on k-Partite k-Uniform Hypergraphs. ICALP (1) 2010: 360-371 - [i2]Venkatesan Guruswami, Prasad Raghavendra, Rishi Saket, Yi Wu:
Bypassing UGC from some optimal geometric inapproximability results. Electron. Colloquium Comput. Complex. TR10 (2010)
2000 – 2009
- 2009
- [c7]Subhash Khot, Rishi Saket:
SDP Integrality Gaps with Local ell_1-Embeddability. FOCS 2009: 565-574 - 2008
- [c6]Subhash Khot, Rishi Saket:
Hardness of Minimizing and Learning DNF Expressions. FOCS 2008: 231-240 - [c5]Subhash Khot, Rishi Saket:
On hardness of learning intersection of two halfspaces. STOC 2008: 345-354 - 2007
- [c4]Subhash Khot, Rishi Saket:
Hardness of Embedding Metric Spaces of Equal Size. APPROX-RANDOM 2007: 218-227 - [c3]Parikshit Gopalan, Subhash Khot, Rishi Saket:
Hardness of Reconstructing Multivariate Polynomials over Finite Fields. FOCS 2007: 349-359 - [i1]Parikshit Gopalan, Subhash Khot, Rishi Saket:
Hardness of Reconstructing Multivariate Polynomials over Finite Fields. Electron. Colloquium Comput. Complex. TR07 (2007) - 2006
- [j1]Rishi Saket, Nicolas Navet:
Frame packing algorithms for automotive applications. J. Embed. Comput. 2(1): 93-102 (2006) - [c2]Subhash Khot, Rishi Saket:
A 3-Query Non-Adaptive PCP with Perfect Completeness. CCC 2006: 159-169 - [c1]Nikhil R. Devanur, Subhash Khot, Rishi Saket, Nisheeth K. Vishnoi:
Integrality gaps for sparsest cut and minimum linear arrangement problems. STOC 2006: 537-546
Coauthor Index
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