Avinandan Bose

22 papers A* 5A 3Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cold-Start Personalization via Training-Free Priors from Structured World Models.
CoRR
Avinandan Bose, Shuyue Stella Li, Faeze Brahman, Pang Wei Koh, Simon Shaolei Du, Yulia Tsvetkov, Maryam Fazel, Lin Xiao, Asli Celikyilmaz
2025 J jnl
DoomArena: A framework for Testing AI Agents Against Evolving Security Threats.
CoRR
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
2025 A conf
Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning.
AISTATS
Avinandan Bose, Laurent Lessard, Maryam Fazel, Krishnamurthy Dj Dvijotham
2025 J jnl
Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning.
CoRR
Avinandan Bose, Laurent Lessard, Maryam Fazel, Krishnamurthy Dj Dvijotham
2025 J jnl
LoRe: Personalizing LLMs via Low-Rank Reward Modeling.
CoRR
Avinandan Bose, Zhihan Xiong, Yuejie Chi, Simon Shaolei Du, Lin Xiao, Maryam Fazel
2025 A conf
Offline Multi-task Transfer RL with Representational Penalization.
AISTATS
Avinandan Bose, Simon Shaolei Du, Maryam Fazel
2025 J jnl
Personalized Reasoning: Just-In-Time Personalization and Why LLMs Fail At It.
CoRR
Shuyue Stella Li, Avinandan Bose, Faeze Brahman, Simon Shaolei Du, Pang Wei Koh, Maryam Fazel, Yulia Tsvetkov
2024 J jnl
Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration.
CoRR
Avinandan Bose, Zhihan Xiong, Aadirupa Saha, Simon Shaolei Du, Maryam Fazel
2024 A* conf
Initializing Services in Interactive ML Systems for Diverse Users.
NeurIPS
Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie H. Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel
2024 J jnl
Offline Multi-task Transfer RL with Representational Penalization.
CoRR
Avinandan Bose, Simon Shaolei Du, Maryam Fazel
2024 A* conf
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary.
IJCAI
Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen, Ayushman Kumar singh
2023 A* conf
A Fair Incentive Scheme for Community Health Workers.
AAAI
Avinandan Bose, Tracey Li, Arunesh Sinha, Tien Mai
2023 J jnl
Initializing Services in Interactive ML Systems for Diverse Users.
CoRR
Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel
2023 A conf
On Sustainable Ride Pooling Through Conditional Expected Value Decomposition.
ECAI
Avinandan Bose, Hao Jiang, Pradeep Varakantham, Zichang Ge
2023 J jnl
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary.
CoRR
Tien Mai, Avinandan Bose, Arunesh Sinha, Thanh Hong Nguyen
2022 A* conf
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models.
AAAI
Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha
2022 J jnl
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models.
CoRR
Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha
2022 J jnl
Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees.
CoRR
Avinandan Bose, Arunesh Sinha, Tien Mai
2022 A* conf
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees.
NeurIPS
Avinandan Bose, Arunesh Sinha, Tien Mai
2021 J jnl
Changepoint Analysis of Topic Proportions in Temporal Text Data.
CoRR
Avinandan Bose, Soumendu Sundar Mukherjee
2021 J jnl
Conditional Expectation based Value Decomposition for Scalable On-Demand Ride Pooling.
CoRR
Avinandan Bose, Pradeep Varakantham
2021 J jnl
NeurInt : Learning to Interpolate through Neural ODEs.
CoRR
Avinandan Bose, Aniket Das, Yatin Dandi, Piyush Rai