Distributional Preference Alignment of LLMs via Optimal Transport
- Igor Melnyk
- Youssef Mroueh
- et al.
- 2024
- NeurIPS 2024
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42 results for Kristjan Greenewald
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
- Gabriel Rioux
- Apoorva Nitsure
- et al.
- 2024
- NeurIPS 2024
Learning Proximal Operators to Discover Multiple Optima
- Lingxiao Li
- Noam Aigerman
- et al.
- 2023
- ICLR 2023
Measuring Generalization with Optimal Transport
- Ching-Yao Chuang
- Youssef Mroueh
- et al.
- 2021
- NeurIPS 2021
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
- Ziv Goldfeld
- Kristjan Greenewald
- 2021
- NeurIPS 2021
Active Structure Learning of Causal DAGs via Directed Clique Trees
- Chandler Squires
- Sara Magliacane
- et al.
- 2020
- NeurIPS 2020
Entropic Causal Inference: Identifiability and Finite Sample Results Spencer Compton
- Spencer Compton
- Murat Kocaoglu
- et al.
- 2020
- NeurIPS 2020
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2020
- NeurIPS 2020
Score Distillation via Reparametrized DDIM
- Artem Lukoianov
- Haitz Saez De Ocariz Borde
- et al.
- 2024
- NeurIPS 2024
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
- Kristjan Greenewald
- Yuancheng Yu
- et al.
- 2024
- NeurIPS 2024