Publications

1442 results for Machine Learning

Integer Programming Based Methods and Heuristics for Causal Graph Learning
- - Sanjeeb Dash
  - Joao Goncalves
  - et al.
- 2025
- AISTATS 2025
Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
- - Lucile Ter-Minassian
  - Liran Szlak
  - et al.
- 2025
- AISTATS 2025
Hybrid Bayesian Optimization with DIRECT
- - Hongsheng Liu
  - Dzung Phan
- 2025
- SDM 2025
Convergence-Guaranteed Elastic Net Graphical Model Estimation with Applications to Anomaly Localization
- - Dzung Phan
  - Matt Menickelly
  - et al.
- 2025
- SDM 2025
Challenges and Remedies of Domain-Specific Classifiers as LLM Guardrails: Self-Harm as a Case Study
- - Bing Zhang
  - Guang-Jie Ren
- 2025
- NAACL 2025
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
- - Matthew Riemer
  - Gopeshh Subbaraj
  - et al.
- 2025
- ICLR 2025
DELIFT: DATA EFFICIENT LANGUAGE MODEL INSTRUCTION FINE-TUNING
- - Ishika Agarwal
  - Krishnateja Killamsetty
  - et al.
- 2025
- ICLR 2025
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
- - Daouda Sow
  - Herbert Woisetschläger
  - et al.
- 2025
- ICLR 2025
A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
- - Raúl Fernández Díaz
  - Lam Thanh Hoang
  - et al.
- 2025
- ICLR 2025
Vertical Federated Learning with Missing Features During Training and Inference
- - Pedro Valdeira
  - Shiqiang Wang
  - et al.
- 2025
- ICLR 2025