Vineet Nair

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 33

Top Topics

Sets Of Probability Measures

Matrix Factorization

Discount Factor

Top Venues

Electron. Colloquium Comput. Complex.

Publications

Chaya Ganesh, Vineet Nair, Ashish Sharma
Dual Polynomial Commitment Schemes and Applications to Commit-and-Prove SNARKs. IACR Cryptol. ePrint Arch. 2024 (2024)
Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits. IJCAI (2023)
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
Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program. AAAI (2023)
Aurghya Maiti, Vineet Nair, Gaurav Sinha
A causal bandit approach to learning good atomic interventions in presence of unobserved confounders. UAI (2022)
Vineet Nair, Ganesh Ghalme, Inbal Talgam-Cohen, Nir Rosenfeld
Strategic Representation. ICML (2022)
Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits. CoRR (2022)
Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corrine Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, Ayan Mukhopadhyay
ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria. CoRR (2022)
Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corrine Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, Ayan Mukhopadhyay
ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria. IJCAI (2022)
Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou
Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment. AAMAS (2022)
Vineet Nair, Ganesh Ghalme, Inbal Talgam-Cohen, Nir Rosenfeld
Strategic Representation. CoRR (2022)
Vineet Nair, Vishakha Patil, Gaurav Sinha
Budgeted and Non-Budgeted Causal Bandits. AISTATS (2021)
Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld
Strategic Classification in the Dark. CoRR (2021)
Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem. J. Mach. Learn. Res. 22 (2021)
Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld
Strategic Classification in the Dark. ICML (2021)
Aurghya Maiti, Vineet Nair, Gaurav Sinha
Causal Bandits on General Graphs. CoRR (2021)
Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou
State-Visitation Fairness in Average-Reward MDPs. CoRR (2021)
Nir Ailon, Omer Leibovitch, Vineet Nair
Sparse linear networks with a fixed butterfly structure: theory and practice. UAI (2021)
Janaky Murthy, Vineet Nair, Chandan Saha
Randomized polynomial-time equivalence between determinant and trace-IMM equivalence tests. Electron. Colloquium Comput. Complex. 27 (2020)
Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem. AAAI (2020)
Janaky Murthy, Vineet Nair, Chandan Saha
Randomized polynomial-time equivalence between determinant and trace-IMM equivalence tests. CoRR (2020)
Nir Ailon, Omer Leibovitch, Vineet Nair
Sparse Linear Networks with a Fixed Butterfly Structure: Theory and Practice. CoRR (2020)
Janaky Murthy, Vineet Nair, Chandan Saha
Randomized Polynomial-Time Equivalence Between Determinant and Trace-IMM Equivalence Tests. MFCS (2020)
Neeraj Kayal, Vineet Nair, Chandan Saha
Separation Between Read-once Oblivious Algebraic Branching Programs (ROABPs) and Multilinear Depth-three Circuits. ACM Trans. Comput. Theory 12 (1) (2020)
Vineet Nair, Vishakha Patil, Gaurav Sinha
Budgeted and Non-budgeted Causal Bandits. CoRR (2020)
Neeraj Kayal, Vineet Nair, Chandan Saha, Sébastien Tavenas
Reconstruction of Full Rank Algebraic Branching Programs. ACM Trans. Comput. Theory 11 (1) (2019)
Neeraj Kayal, Vineet Nair, Chandan Saha
Average-case linear matrix factorization and reconstruction of low width algebraic branching programs. Comput. Complex. 28 (4) (2019)
Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari
Achieving Fairness in the Stochastic Multi-armed Bandit Problem. CoRR (2019)
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
99DOTS: a low-cost approach to monitoring and improving medication adherence. ICTD (2019)
Neeraj Kayal, Vineet Nair, Chandan Saha
Average-case linear matrix factorization and reconstruction of low width Algebraic Branching Programs. Electron. Colloquium Comput. Complex. 25 (2018)
Neeraj Kayal, Vineet Nair, Chandan Saha, Sébastien Tavenas
Reconstruction of Full Rank Algebraic Branching Programs. Computational Complexity Conference (2017)
Neeraj Kayal, Vineet Nair, Chandan Saha, Sébastien Tavenas
Reconstruction of full rank Algebraic Branching Programs. Electron. Colloquium Comput. Complex. 24 (2017)
Neeraj Kayal, Vineet Nair, Chandan Saha
Separation Between Read-once Oblivious Algebraic Branching Programs (ROABPs) and Multilinear Depth Three Circuits. STACS (2016)
Neeraj Kayal, Vineet Nair, Chandan Saha
Separation between Read-once Oblivious Algebraic Branching Programs (ROABPs) and Multilinear Depth Three Circuits. Electron. Colloquium Comput. Complex. 22 (2015)
Arnab Bhattacharyya, Vineet Nair
An explicit sparse recovery scheme in the L1-norm. CoRR (2014)