| 2025 | ACL | FRACTAL: Fine-Grained Scoring from Aggregate Text Labels. | Yukti Makhija, Priyanka Agrawal, Rishi Saket, Aravindan Raghuveer |
| 2025 | UAI | Aggregating Data for Optimal Learning. | Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer |
| 2025 | UAI | Learning Algorithms for Multiple Instance Regression. | Aaryan Gupta, Rishi Saket |
| 2025 | UAI | Weak to Strong Learning from Aggregate Labels. | Yukti Makhija, Rishi Saket |
| 2025 | UAI | Learning from Label Proportions and Covariate-shifted Instances. | Sagalpreet Singh, Navodita Sharma, Shreyas Havaldar, Rishi Saket, Aravindan Raghuveer |
| 2024 | CIKM | LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions. | Anand Brahmbhatt, Mohith Pokala, Rishi Saket, Aravindan Raghuveer |
| 2024 | UAI | Generalization and Learnability in Multiple Instance Regression. | Kushal Chauhan, Rishi Saket, Lorne Applebaum, Ashwinkumar Badanidiyuru, Chandan Giri, Aravindan Raghuveer |
| 2023 | CIKM | Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. | Jay Nandy, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer |
| 2022 | AISTATS | On Combining Bags to Better Learn from Label Proportions. | Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran |
| 2022 | CIKM | Domain-Agnostic Contrastive Representations for Learning from Label Proportions. | Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer |
| 2022 | KDD | Multi-Variate Time Series Forecasting on Variable Subsets. | Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran |
| 2021 | STOC | Hardness of learning DNFs using halfspaces. | Suprovat Ghoshal, Rishi Saket |
| 2018 | COLT | Hardness of Learning Noisy Halfspaces using Polynomial Thresholds. | Arnab Bhattacharyya, Suprovat Ghoshal, Rishi Saket |
| 2016 | ESA | On the Hardness of Learning Sparse Parities. | Arnab Bhattacharyya, Ameet Gadekar, Suprovat Ghoshal, Rishi Saket |
| 2016 | ESA | Hardness of Bipartite Expansion. | Subhash Khot, Rishi Saket |
| 2015 | ESA | On the Approximability of Digraph Ordering. | Sreyash Kenkre, Vinayaka Pandit, Manish Purohit, Rishi Saket |
| 2015 | FOCS | Tight Hardness of the Non-commutative Grothendieck Problem. | Jop Brit, Oded Regev, Rishi Saket |
| 2015 | ICALP | Approximating CSPs Using LP Relaxation. | Subhash Khot, Rishi Saket |
| 2014 | FOCS | Hardness of Coloring 2-Colorable 12-Uniform Hypergraphs with exp(log^{Omega(1)} n) Colors. | Subhash Khot, Rishi Saket |
| 2014 | SODA | Hardness of Finding Independent Sets in 2-Colorable and Almost 2-Colorable Hypergraphs. | Subhash Khot, Rishi Saket |
| 2012 | FOCS | Hardness of Finding Independent Sets in Almost q-Colorable Graphs. | Subhash Khot, Rishi Saket |
| 2012 | ICALP | Stochastic Vehicle Routing with Recourse. | Inge Li Grtz, Viswanath Nagarajan, Rishi Saket |
| 2012 | SODA | Bypassing UGC from some optimal geometric inapproximability results. | Venkatesan Guruswami, Prasad Raghavendra, Rishi Saket, Yi Wu |
| 2010 | ICALP | On the Inapproximability of Vertex Cover on | Venkatesan Guruswami, Rishi Saket |
| 2009 | FOCS | SDP Integrality Gaps with Local ell_1-Embeddability. | Subhash Khot, Rishi Saket |
| 2008 | FOCS | Hardness of Minimizing and Learning DNF Expressions. | Subhash Khot, Rishi Saket |
| 2008 | STOC | On hardness of learning intersection of two halfspaces. | Subhash Khot, Rishi Saket |
| 2007 | FOCS | Hardness of Reconstructing Multivariate Polynomials over Finite Fields. | Parikshit Gopalan, Subhash Khot, Rishi Saket |
| 2006 | STOC | Integrality gaps for sparsest cut and minimum linear arrangement problems. | Nikhil R. Devanur, Subhash Khot, Rishi Saket, Nisheeth K. Vishnoi |