Publications

1515 results for Machine Learning

Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
- - Lucile Ter-Minassian
  - Liran Szlak
  - et al.
- 2025
- AISTATS 2025
Convergence-Guaranteed Elastic Net Graphical Model Estimation with Applications to Anomaly Localization
- - Dzung Phan
  - Matt Menickelly
  - et al.
- 2025
- SDM 2025
Hybrid Bayesian Optimization with DIRECT
- - Hongsheng Liu
  - Dzung Phan
- 2025
- SDM 2025
Goal-Driven Data Story, Narrations and Explanations
- - Aniya Aggarwal
  - Ankush Gupta
  - et al.
- 2025
- NAACL 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
Neural Embedding Compression for Earth Observation Data – an Ablation Study
- - Amelie Elisabeth Koch
  - Isabelle Wittmann
  - et al.
- 2025
- EGU 2025
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference
- - Matthew Riemer
  - Gopeshh Subbaraj
  - et al.
- 2025
- ICLR 2025
Precedence-Constrained Winter Value for Effective Graph Data Valuation
- - Hongling Chi
  - Wei Jin
  - et al.
- 2025
- ICLR 2025
DELIFT: DATA EFFICIENT LANGUAGE MODEL INSTRUCTION FINE-TUNING
- - Ishika Agarwal
  - Krishnateja Killamsetty
  - et al.
- 2025
- ICLR 2025
The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG
- - Francesco Carzaniga
  - Gary Hoppeler
  - et al.
- 2025
- ICLR 2025