[NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"
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Oct 18, 2023 - Python
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distributionally-robust-optimization
Here are 10 public repositories matching this topic...
The Pytorch implementation for "Topology-aware Robust Optimization for Out-of-Distribution Generalization" (ICLR 2023)
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Mar 8, 2023 - Python
Distributionally robust machine learning with Pytorch and Scikit-learn wrappers
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Dec 3, 2024 - Python
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization
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Jun 1, 2024 - Python
[ICDE2024] Official code of "BSL: Understanding and Improving Softmax Loss for Recommendation"
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Dec 27, 2023 - Python
Temporally and Distributionally Robust Optimization for Cold-start Recommendation (AAAI'24)
pytorch recommender-system cold-start distribution-shift distributionally-robust-optimization aaai2024
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Mar 28, 2024 - Python
This is the official repository for the ICLR 2024 paper Out-Of-Domain Unlabeled Data Improves Generalization.
semi-supervised-learning robust-optimization unsupervised-learning conference-paper iclr robustness adversarial-learning self-supervised-learning generalization-error out-of-distribution out-of-domain distribution-shift out-of-distribution-generalization distributionally-robust-optimization iclr2024
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Sep 2, 2024 - TeX
Code for the experiments in the paper "Contextual Robust Optimisation with Uncertainty Quantification".
machine-learning robust-optimization uncertainty-quantification stochastic-optimization distributionally-robust-optimization
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Apr 14, 2023 - Python
Code for the project DiGriFlex
optimization markov-chain forecasting power-systems bayesian-bootstrapping distributionally-robust-optimization
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Feb 14, 2024 - Python
this repository hosts my master's thesis codes and dataset.
deep-reinforcement-learning portfolio-optimization cvxpy end-to-end-learning implicit-optimization distributionally-robust-optimization
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Oct 19, 2023 - Python
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