YujiaBao / tofu
"Learning Stable Classifiers by Transferring Unstable Features" ICML 2022
☆14Updated 2 years ago
Alternatives and similar repositories for tofu:
Users that are interested in tofu are comparing it to the libraries listed below
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆38Updated 3 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆27Updated last year
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆14Updated 7 months ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆63Updated 2 years ago
- A Python Package for Non-stationary Online Learning (PyNOL)☆30Updated 11 months ago
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆13Updated 8 months ago
- ☆23Updated last year
- A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…☆13Updated 2 years ago
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆39Updated 6 months ago
- ☆14Updated 2 years ago
- Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…☆20Updated 5 months ago
- ☆41Updated last month
- ☆24Updated 2 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆99Updated last year
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 3 years ago
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆35Updated 2 years ago
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Updated 2 years ago
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆18Updated 4 months ago
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆15Updated 2 years ago
- implementation of our IJCAI'24 paper "Cross-Problem Learning for Solving Vehicle Routing Problems".☆12Updated 7 months ago
- Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning☆38Updated last year
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆36Updated last year
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆38Updated 2 years ago
- An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…☆13Updated 3 years ago
- [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"☆39Updated last year
- ☆34Updated last year
- 📰 Must-Read Papers on Offline Model-Based Optimization 🔥☆14Updated 2 weeks ago
- ☆24Updated 3 years ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆61Updated last month
- ☆11Updated last year