Papers | simpleprog

machine learning Oct 05 Pivot-SD: Efficient Self-Distillation for Masked Diffusion Language Models by Seo Hyun Kim, Sunwoo Hong, Younwoo Choi, Chen-Hao Chao, Se-Young Yun, Rahul G. Krishnan

machine learning Oct 05 When May a Bandit Leave Its Anchor? E-Process-Authorized Thompson Sampling under Non-stationarity by Mayand Gulati, Kerong Wang, WeiChen Au

machine learning Oct 02 Embedding Prediction Helps Image Generation by Sihan Xu, Ji Xie, Zilin Wang, Hui Shen, Stella X. Yu

machine learning Oct 02 TACO: Ternary Absolute-max Column-wise One-sparse Optimizer for LLM Fine-Tuning by Jichao Jiang (1), Cristian McGee (1), El Houcine Bergou (2), Hanqin Cai (1), Aritra Dutta (1) ((1) University of Central Florida, (2) Mohammed VI Polytechnic University)

machine learning Oct 02 FERPO: Forward Entropy-Regularized Policy Optimization by Sebastian Sanokowski, Alireza Sarmadi, Majid Khadiv

machine learning Oct 02 Cost-augmented Schrödinger bridges on graphs are exactly solvable: a Feynman-Kac tilt replaces learned control by Akshay Balsubramani

machine learning Oct 02 Trust the Direction, Search the Step: Zero-and-First-Order Methods for LLM Fine-Tuning by Cristian McGee, El Houcine Bergou, Aritra Dutta

machine learning Oct 02 Generative modeling of intrinsically disordered protein regions by reinforcing sparse autoencoder features by Jason X. Liu, Sebastian Ibarraran, Frank Hu, Soojung Yang, Xinyu A. Feng, Abigail Park, Anagha Aneesh, Lacramioara Bintu, Alexander R. Dunn, Grant M. Rotskoff

machine learning Oct 02 Decoding Looped Transformers Better for (Almost) Free by Weihao Liu, Huangjie Zheng, Tianrong Chen, Rohit Dilip, Richard He Bai, Yizhu Jiao, Yuyang Wang, Ruixiang Zhang

machine learning Oct 02 SoftServe: A Scalable Quasi-Newton Method for Deep Learning by Joohwan Ko, Tetiana Parshakova, Diana Cai, Robert M. Gower