Vineet Nair

According to our database, Vineet Nair authored at least 22 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Maximally Useful and Minimally Redundant: The Key to Self Supervised Learning for Imbalanced Data.

Yash Kumar Sharma, Vineet Nair, Wilson Naik

CoRR, September, 2025

Proving CPU Executions in Small Space.

Vineet Nair, Justin Thaler, Michael Zhu

IACR Cryptol. ePrint Arch., 2025

2024

BrakingBase - a linear prover, poly-logarithmic verifier, field agnostic polynomial commitment scheme.

Vineet Nair, Ashish Sharma, Bhargav Thankey

IACR Cryptol. ePrint Arch., 2024

Dual Polynomial Commitment Schemes and Applications to Commit-and-Prove SNARKs.

Chaya Ganesh, Vineet Nair, Ashish Sharma

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits.

Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A causal bandit approach to learning good atomic interventions in presence of unobserved confounders.

Aurghya Maiti, Vineet Nair, Gaurav Sinha

Proceedings of the Uncertainty in Artificial Intelligence, 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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Strategic Representation.

Vineet Nair, Ganesh Ghalme, Inbal Talgam-Cohen, Nir Rosenfeld

Proceedings of the International Conference on Machine Learning, 2022

Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment.

Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Causal Bandits on General Graphs.

Aurghya Maiti, Vineet Nair, Gaurav Sinha

CoRR, 2021

State-Visitation Fairness in Average-Reward MDPs.

Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou

CoRR, 2021

Sparse linear networks with a fixed butterfly structure: theory and practice.

Nir Ailon, Omer Leibovitch, Vineet Nair

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Strategic Classification in the Dark.

Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld

Proceedings of the 38th International Conference on Machine Learning, 2021

Budgeted and Non-Budgeted Causal Bandits.

Vineet Nair, Vishakha Patil, Gaurav Sinha

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Randomized Polynomial-Time Equivalence Between Determinant and Trace-IMM Equivalence Tests.

Janaky Murthy, Vineet Nair, Chandan Saha

Proceedings of the 45th International Symposium on Mathematical Foundations of Computer Science, 2020

Achieving Fairness in the Stochastic Multi-Armed Bandit Problem.

Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Average-case linear matrix factorization and reconstruction of low width algebraic branching programs.

Neeraj Kayal, Vineet Nair, Chandan Saha

Comput. Complex., 2019

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, Raghuram Rao, Kiran Rade, Bhavin Vadera, Daksha Shah, Vinod Choudhary, Vineet Chadha, Amar Shah, Sameer Kumta, Puneet Dewan, Bruce Thomas, William Thies

Proceedings of the Tenth International Conference on Information and Communication Technologies and Development, 2019

2017

Reconstruction of Full Rank Algebraic Branching Programs.

Neeraj Kayal, Vineet Nair, Chandan Saha, Sébastien Tavenas

Proceedings of the 32nd Computational Complexity Conference, 2017

2016

Separation Between Read-once Oblivious Algebraic Branching Programs (ROABPs) and Multilinear Depth Three Circuits.

Neeraj Kayal, Vineet Nair, Chandan Saha

Proceedings of the 33rd Symposium on Theoretical Aspects of Computer Science, 2016

2014

An explicit sparse recovery scheme in the L1-norm.

Arnab Bhattacharyya, Vineet Nair

CoRR, 2014