Publications

23 results at TMLR

ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization
- - Prateek Yadav
  - Leshem Choshen
  - et al.
- 2025
- TMLR
The RealHumanEval: Evaluating Large Language Models’ Abilities to Support Programmers
- - Hussein Mozannar
  - Valerie Chen
  - et al.
- 2025
- TMLR
Cross-lingual Transfer in Programming Languages: An Extensive Empirical Study
- - Razan Baltaji
  - Saurabh Pujar
  - et al.
- 2025
- TMLR
Language Models Are Good Tabular Learners
- - Zhenhan Huang
  - Kavitha Srinivas
  - et al.
- 2025
- TMLR
Group Fair Federated Learning via Stochastic Kernel Regularization
- - Huzaifa Arif
  - Keerthiram Murugesan
  - et al.
- 2025
- TMLR
Sortability of Time Series Data
- - Christopher Lohse
  - Jonas Wahl
- 2025
- TMLR
Approximations to worst-case data dropping: unmasking failure modes
- - Jenny Y. Huang
  - David R. Burt
  - et al.
- 2025
- TMLR
Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation
- - Franz A. Heinsen
  - Leo Kozachkov
- 2025
- TMLR
Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
- - Wei Liu
  - Anweshit Panda
  - et al.
- 2025
- TMLR
AT4TS: Autotune for Time Series Foundation Models
- - Shivani Tomar
  - Seshu Tirupathi
  - et al.
- 2025
- TMLR