Avinandan Bose

According to our database1, Avinandan Bose authored at least 15 papers between 2021 and 2025.

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Bibliography

2025
LoRe: Personalizing LLMs via Low-Rank Reward Modeling.
CoRR, April, 2025

DoomArena: A framework for Testing AI Agents Against Evolving Security Threats.
CoRR, April, 2025

Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Offline Multi-task Transfer RL with Representational Penalization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration.
CoRR, 2024

Initializing Services in Interactive ML Systems for Diverse Users.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary.
CoRR, 2023

On Sustainable Ride Pooling Through Conditional Expected Value Decomposition.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

A Fair Incentive Scheme for Community Health Workers.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Changepoint Analysis of Topic Proportions in Temporal Text Data.
CoRR, 2021

Conditional Expectation based Value Decomposition for Scalable On-Demand Ride Pooling.
CoRR, 2021

NeurInt : Learning to Interpolate through Neural ODEs.
CoRR, 2021


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