NeurInt : Learning to Interpolate through Neural ODEs. - Avinandan Bose; Aniket Das; Yatin Dandi; Piyush Rai (CoRR, 2021)

Conditional Expectation based Value Decomposition for Scalable On-Demand Ride Pooling. - Avinandan Bose; Pradeep Varakantham (CoRR, 2021)

Changepoint Analysis of Topic Proportions in Temporal Text Data. - Avinandan Bose; Soumendu Sundar Mukherjee (CoRR, 2021)

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 (AAAI, 2022)

Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees. - Avinandan Bose; Arunesh Sinha; Tien Mai (NeurIPS, 2022)

A Fair Incentive Scheme for Community Health Workers. - Avinandan Bose; Tracey Li; Arunesh Sinha; Tien Mai (AAAI, 2023)

On Sustainable Ride Pooling Through Conditional Expected Value Decomposition. - Avinandan Bose; Hao Jiang; Pradeep Varakantham; Zichang Ge (ECAI, 2023)

Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. - Tien Mai; Avinandan Bose; Arunesh Sinha; Thanh Hong Nguyen (CoRR, 2023)

Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary. - Tien Mai; Avinandan Bose; Arunesh Sinha; Thanh Hong Nguyen; Ayushman Kumar singh (IJCAI, 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 (NeurIPS, 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)

Offline Multi-task Transfer RL with Representational Penalization. - Avinandan Bose; Simon Shaolei Du; Maryam Fazel (AISTATS, 2025)

Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning. - Avinandan Bose; Laurent Lessard; Maryam Fazel; Krishnamurthy Dj Dvijotham (AISTATS, 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, 2025)

LoRe: Personalizing LLMs via Low-Rank Reward Modeling. - Avinandan Bose; Zhihan Xiong; Yuejie Chi; Simon Shaolei Du; Lin Xiao; Maryam Fazel (CoRR, 2025)