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cs.LG2025
Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing
Iskander Azangulov, Teodora Pandeva, Niranjani Prasad +2
Masked diffusion models (MDMs) offer a compelling alternative to autoregressive models (ARMs) for discrete text generation because they enable parallel token sampling, rather than…
cs.LG2019★ 1 cited
Defining Admissible Rewards for High Confidence Policy Evaluation
Niranjani Prasad, Barbara E Engelhardt, Finale Doshi-Velez
A key impediment to reinforcement learning (RL) in real applications with limited, batch data is defining a reward function that reflects what we implicitly know about reasonable b…