An explicit sparse recovery scheme in the L1-norm. - Arnab Bhattacharyya 001; Vineet Nair (CoRR, 2014)

Separation between Read-once Oblivious Algebraic Branching Programs (ROABPs) and Multilinear Depth Three Circuits. - Neeraj Kayal; Vineet Nair; Chandan Saha 001 (Electron. Colloquium Comput. Complex., 2015)

Reconstruction of full rank Algebraic Branching Programs. - Neeraj Kayal; Vineet Nair; Chandan Saha 001; Sébastien Tavenas (Electron. Colloquium Comput. Complex., 2017)

99DOTS: a low-cost approach to monitoring and improving medication adherence. - Andrew Cross; Nakull Gupta; Brandon Liu; Vineet Nair; Abhishek Kumar; Reena Kuttan; Priyanka Ivatury; Amy Chen; Kshama Lakshman; Rashmi Rodrigues; George D'Souza; Deepti Chittamuru; et al. (ICTD, 2019)

Average-case linear matrix factorization and reconstruction of low width algebraic branching programs. - Neeraj Kayal; Vineet Nair; Chandan Saha 001 (Comput. Complex., 2019)

Randomized polynomial-time equivalence between determinant and trace-IMM equivalence tests. - Janaky Murthy; Vineet Nair; Chandan Saha 001 (Electron. Colloquium Comput. Complex., 2020)

Budgeted and Non-Budgeted Causal Bandits. - Vineet Nair; Vishakha Patil; Gaurav Sinha 001 (AISTATS, 2021)

Strategic Classification in the Dark. - Ganesh Ghalme; Vineet Nair; Itay Eilat; Inbal Talgam-Cohen; Nir Rosenfeld (ICML, 2021)

Sparse linear networks with a fixed butterfly structure: theory and practice. - Nir Ailon; Omer Leibovitch; Vineet Nair (UAI, 2021)

State-Visitation Fairness in Average-Reward MDPs. - Ganesh Ghalme; Vineet Nair; Vishakha Patil; Yilun Zhou (CoRR, 2021)

Causal Bandits on General Graphs. - Aurghya Maiti; Vineet Nair; Gaurav Sinha 001 (CoRR, 2021)

Achieving Fairness in the Stochastic Multi-Armed Bandit Problem. - Vishakha Patil; Ganesh Ghalme; Vineet Nair; Y. Narahari (J. Mach. Learn. Res., 2021)

Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment. - Ganesh Ghalme; Vineet Nair; Vishakha Patil; Yilun Zhou (AAMAS, 2022)

Strategic Representation. - Vineet Nair; Ganesh Ghalme; Inbal Talgam-Cohen; Nir Rosenfeld (ICML, 2022)

ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria. - Vineet Nair; Kritika Prakash; Michael Wilbur; Aparna Taneja; Corinne Namblard; Oyindamola Adeyemo; Abhishek Dubey; Abiodun Adereni; Milind Tambe; Ayan Mukhopadhyay (IJCAI, 2022)

A causal bandit approach to learning good atomic interventions in presence of unobserved confounders. - Aurghya Maiti; Vineet Nair; Gaurav Sinha 001 (UAI, 2022)

Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program. - Jackson A. Killian; Arpita Biswas; Lily Xu; Shresth Verma; Vineet Nair; Aparna Taneja; Aparna Hegde; Neha Madhiwalla; Paula Rodriguez Diaz; Sonja Johnson-Yu; Milind Tambe (AAAI, 2023)

Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits. - Vishakha Patil; Vineet Nair; Ganesh Ghalme; Arindam Khan 001 (IJCAI, 2023)

Dual Polynomial Commitment Schemes and Applications to Commit-and-Prove SNARKs. - Chaya Ganesh; Vineet Nair; Ashish Sharma (IACR Cryptol. ePrint Arch., 2024)

BrakingBase - a linear prover, poly-logarithmic verifier, field agnostic polynomial commitment scheme. - Vineet Nair; Ashish Sharma; Bhargav Thankey (IACR Cryptol. ePrint Arch., 2024)

Proving CPU Executions in Small Space. - Vineet Nair; Justin Thaler; Michael Zhu (IACR Cryptol. ePrint Arch., 2025)