dbmptr / EPOSearch
Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
☆64Updated 2 years ago
Alternatives and similar repositories for EPOSearch
Users that are interested in EPOSearch are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆14Updated 9 months ago
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆138Updated 5 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆102Updated 3 years ago
- ☆17Updated 3 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆60Updated 2 years ago
- A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…☆14Updated 3 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆27Updated last year
- ☆70Updated 8 months ago
- ☆35Updated last year
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆47Updated 3 years ago
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆39Updated 3 years ago
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆96Updated last month
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 4 years ago
- Benchmark for bi-level optimization solvers☆44Updated 5 months ago
- Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…☆28Updated 3 years ago
- ☆11Updated 9 months ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- ☆42Updated 2 weeks ago
- ☆32Updated 2 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆122Updated last year
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 3 years ago
- ☆23Updated last year
- Bi-level Optimization for Advanced Deep Learning☆45Updated 3 years ago
- Implementation of an efficient variant of SVRG that relies on mini-batching implemented in Pytorch☆26Updated 6 years ago
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆143Updated 3 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆98Updated 2 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 3 years ago
- A comprehensive list of gradient-based multi-objective optimization algorithms in deep learning.☆58Updated 2 months ago