Dake Bu

According to our database, Dake Bu authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Slowly Annealed Langevin Dynamics: Theory and Applications to Training-Free Guided Generation.

Atsushi Nitanda, Dake Bu, Yueming Lyu, Tanya Veeravalli

CoRR, May, 2026

DPRM: A Plug-in Doob h transform-induced Token-Ordering Module for Diffusion Language Models.

Dake Bu, Wei Huang, Andi Han, Hau-San Wong, Qingfu Zhang, Taiji Suzuki, Atsushi Nitanda

CoRR, April, 2026

2025

Provable Benefit of Curriculum in Transformer Tree-Reasoning Post-Training.

Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Hau-San Wong, Qingfu Zhang, Taiji Suzuki

CoRR, November, 2025

Consistency Is Not Always Correct: Towards Understanding the Role of Exploration in Post-Training Reasoning.

Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Bo Xue, Qingfu Zhang, Hau-San Wong, Taiji Suzuki

CoRR, November, 2025

Provable In-Context Vector Arithmetic via Retrieving Task Concepts.

Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Qingfu Zhang, Hau-San Wong, Taiji Suzuki

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Multi-objective Linear Reinforcement Learning with Lexicographic Rewards.

Bo Xue, Dake Bu, Ji Cheng, Yuanyu Wan, Qingfu Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning.

Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples.

Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong

Proceedings of the Forty-first International Conference on Machine Learning, 2024