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Publication search results
found 74 matches
- 2024
- Venkatesan Guruswami, Rishi Saket:
Hardness of Learning Boolean Functions from Label Proportions. CoRR abs/2403.19401 (2024) - Yukti Makhija, Priyanka Agrawal, Rishi Saket, Aravindan Raghuveer:
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels. CoRR abs/2404.04817 (2024) - 2023
- Jay Nandy, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer:
Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. CIKM 2023: 1887-1896 - Venkatesan Guruswami, Rishi Saket:
Hardness of Learning Boolean Functions from Label Proportions. FSTTCS 2023: 37:1-37:15 - Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer:
PAC Learning Linear Thresholds from Label Proportions. NeurIPS 2023 - Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni, Vishwa Vinay:
GEMS: Scene Expansion using Generative Models of Graphs. WACV 2023: 157-166 - Anand Brahmbhatt, Rishi Saket, Shreyas Havaldar, Anshul Nasery, Aravindan Raghuveer:
Label Differential Privacy via Aggregation. CoRR abs/2310.10092 (2023) - 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) - Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer:
PAC Learning Linear Thresholds from Label Proportions. CoRR abs/2310.10098 (2023) - 2022
- Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran:
On Combining Bags to Better Learn from Label Proportions. AISTATS 2022: 5913-5927 - 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 - Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran:
Multi-Variate Time Series Forecasting on Variable Subsets. KDD 2022: 76-86 - Rishi Saket:
Algorithms and Hardness for Learning Linear Thresholds from Label Proportions. NeurIPS 2022 - Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran:
Multi-Variate Time Series Forecasting on Variable Subsets. CoRR abs/2206.12626 (2022) - Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil, Aniruddha Mahapatra, Kuldeep Kulkarni, Vishwa Vinay:
GEMS: Scene Expansion using Generative Models of Graphs. CoRR abs/2207.03729 (2022) - 2021
- Rishi Saket:
Learnability of Linear Thresholds from Label Proportions. NeurIPS 2021: 6555-6566 - Suprovat Ghoshal, Rishi Saket:
Hardness of learning DNFs using halfspaces. STOC 2021: 467-480 - 2020
- 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 - Rishika Bhagwatkar, Khurshed Fitter, Saketh Bachu, Akshay R. Kulkarni, Shital S. Chiddarwar:
Paying Attention to Video Generation. Preregister@NeurIPS 2020: 139-154 - 2019
- Suprovat Ghoshal, Rishi Saket:
Hardness of Learning DNFs using Halfspaces. CoRR abs/1911.06358 (2019) - Suprovat Ghoshal, Rishi Saket:
Hardness of Learning DNFs using Halfspaces. Electron. Colloquium Comput. Complex. TR19 (2019) - 2018
- Arnab Bhattacharyya, Suprovat Ghoshal, Rishi Saket:
Hardness of Learning Noisy Halfspaces using Polynomial Thresholds. COLT 2018: 876-917 - 2017
- Sreyash Kenkre, Vinayaka Pandit, Manish Purohit, Rishi Saket:
On the Approximability of Digraph Ordering. Algorithmica 78(4): 1182-1205 (2017) - 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) - Jop Briët, Oded Regev, Rishi Saket:
Tight Hardness of the Non-Commutative Grothendieck Problem. Theory Comput. 13(1): 1-24 (2017) - Alina Ene, Viswanath Nagarajan, Rishi Saket:
Approximation Algorithms for Stochastic k-TSP. FSTTCS 2017: 27:27-27:14 - Venkatesan Guruswami, Rishi Saket:
Hardness of Rainbow Coloring Hypergraphs. FSTTCS 2017: 33:33-33:15 - Arnab Bhattacharyya, Suprovat Ghoshal, Rishi Saket:
Hardness of learning noisy halfspaces using polynomial thresholds. CoRR abs/1707.01795 (2017) - Arnab Bhattacharyya, Suprovat Ghoshal, Rishi Saket:
Hardness of learning noisy halfspaces using polynomial thresholds. Electron. Colloquium Comput. Complex. TR17 (2017) - Venkatesan Guruswami, Rishi Saket:
Hardness of Rainbow Coloring Hypergraphs. Electron. Colloquium Comput. Complex. TR17 (2017)
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