Avinandan Bose

According to our database, Avinandan Bose authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

Cold-Start Personalization via Training-Free Priors from Structured World Models.

Avinandan Bose, Shuyue Stella Li, Faeze Brahman, Pang Wei Koh, Simon Shaolei Du, Yulia Tsvetkov, Maryam Fazel, Lin Xiao, Asli Celikyilmaz

CoRR, February, 2026

2025

Personalized Reasoning: Just-In-Time Personalization and Why LLMs Fail At It.

Shuyue Stella Li, Avinandan Bose, Faeze Brahman, Simon Shaolei Du, Pang Wei Koh, Maryam Fazel, Yulia Tsvetkov

CoRR, October, 2025

LoRe: Personalizing LLMs via Low-Rank Reward Modeling.

Avinandan Bose, Zhihan Xiong, Yuejie Chi, Simon Shaolei Du, Lin Xiao, Maryam Fazel

CoRR, April, 2025

DoomArena: A framework for Testing AI Agents Against Evolving Security Threats.

Léo Boisvert, Mihir Bansal, Chandra Kiran Reddy Evuru, Gabriel Huang, Abhay Puri, Avinandan Bose, Maryam Fazel, Quentin Cappart, Jason Stanley, Alexandre Lacoste, Alexandre Drouin, Krishnamurthy Dvijotham

CoRR, April, 2025

Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning.

Avinandan Bose, Laurent Lessard, Maryam Fazel, Krishnamurthy Dj Dvijotham

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Offline Multi-task Transfer RL with Representational Penalization.

Avinandan Bose, Simon Shaolei Du, Maryam Fazel

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.

Avinandan Bose, Zhihan Xiong, Aadirupa Saha, Simon Shaolei Du, Maryam Fazel

CoRR, 2024

Initializing Services in Interactive ML Systems for Diverse Users.

Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie H. Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel

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.

Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen, Ayushman Kumar singh

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary.

Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen

CoRR, 2023

On Sustainable Ride Pooling Through Conditional Expected Value Decomposition.

Avinandan Bose, Hao Jiang, Pradeep Varakantham, Zichang Ge

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.

Avinandan Bose, Tracey Li, Arunesh Sinha, Tien Mai

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

2022

Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees.

Avinandan Bose, Arunesh Sinha, Tien Mai

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.

Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Changepoint Analysis of Topic Proportions in Temporal Text Data.

Avinandan Bose, Soumendu Sundar Mukherjee

CoRR, 2021

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

Avinandan Bose, Pradeep Varakantham

CoRR, 2021

NeurInt : Learning to Interpolate through Neural ODEs.

Avinandan Bose, Aniket Das, Yatin Dandi, Piyush Rai

CoRR, 2021