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Ness B. Shroff

12 papers at tracked venues · 11 at CORE A* · active 2024–2026

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Venues

ICLR ×6ICML ×2NeurIPS ×2AAAI ×1AISTATS ×1

Frequent coauthors

Yingbin Liang
×6
Peizhong Ju
×6
Yuchen Liang
×4
Arnob Ghosh
×3
Ming Shi
×2
Lifeng Lai
×2
Yining Li
×2
Sen Lin
×2
Linfeng Cao
×1
Renxiang Huang
×1
Amirhossein Roknilamouki
×1
Fatemeh Nourzad
×1

Papers

  1. Provably Efficient Multi-Objective Bandit Algorithms Under Preference-Centric Customization
    AAAI 2026 ·
    Linfeng Cao
    ,
    Ming Shi
    , Ness B. Shroff
  2. Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
    NeurIPS 2025 ·
    Yuchen Liang
    ,
    Renxiang Huang
    ,
    Lifeng Lai
    , Ness Shroff,
    Yingbin Liang
  3. Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach
    ICLR 2025 ·
    Yuchen Liang
    ,
    Peizhong Ju
    ,
    Yingbin Liang
    , Ness B. Shroff
  4. Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
    NeurIPS 2025 ·
    Yuchen Liang
    ,
    Yingbin Liang
    ,
    Lifeng Lai
    , Ness Shroff
  5. How to Find the Exact Pareto Front for Multi-Objective MDPs?
    ICLR 2025 ·
    Yining Li
    ,
    Peizhong Ju
    , Ness B. Shroff
  6. Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces
    ICML 2025 ·
    Amirhossein Roknilamouki
    ,
    Arnob Ghosh
    ,
    Ming Shi
    ,
    Fatemeh Nourzad
    ,
    Eylem Ekici
    , Ness B. Shroff
  7. Theory on Mixture-of-Experts in Continual Learning
    ICLR 2025 ·
    Hongbo Li
    ,
    Sen Lin
    ,
    Lingjie Duan
    ,
    Yingbin Liang
    , Ness B. Shroff
  8. Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers
    ICLR 2025 ·
    Yuchen Liang
    ,
    Peizhong Ju
    ,
    Yingbin Liang
    , Ness B. Shroff
  9. Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
    ICML 2025 ·
    Junze Deng
    ,
    Qinhang Wu
    ,
    Peizhong Ju
    ,
    Sen Lin
    ,
    Yingbin Liang
    , Ness B. Shroff
  10. Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
    ICLR 2024 ·
    Peizhong Ju
    ,
    Arnob Ghosh
    , Ness B. Shroff
  11. Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping
    ICLR 2024 ·
    Yining Li
    ,
    Peizhong Ju
    , Ness B. Shroff
  12. Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL
    AISTATS 2024 ·
    Arnob Ghosh
    ,
    Xingyu Zhou
    , Ness B. Shroff