Ness B. Shroff

Venues

Frequent coauthors

Papers

1. Provably Efficient Multi-Objective Bandit Algorithms Under Preference-Centric Customization
   AAAI 2026 ·

   Linfeng Cao

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2. Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
   NeurIPS 2025 ·

   Yuchen Liang

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3. Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach
   ICLR 2025 ·

   Yuchen Liang

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4. Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
   NeurIPS 2025 ·

   Yuchen Liang

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5. How to Find the Exact Pareto Front for Multi-Objective MDPs?
   ICLR 2025 ·

   Yining Li

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6. Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces
   ICML 2025 ·

   Amirhossein Roknilamouki

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7. Theory on Mixture-of-Experts in Continual Learning
   ICLR 2025 ·

   Hongbo Li

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8. Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers
   ICLR 2025 ·

   Yuchen Liang

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9. Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
   ICML 2025 ·

   Junze Deng

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10. Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
    ICLR 2024 ·

    Peizhong Ju

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11. Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping
    ICLR 2024 ·

    Yining Li

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12. Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL
    AISTATS 2024 ·

    Arnob Ghosh

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