Xi-L / CPL
Code for ICML2023 Paper: Continuation Path Learning for Homotopy Optimization
☆11Updated last year
Alternatives and similar repositories for CPL:
Users that are interested in CPL are comparing it to the libraries listed below
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 3 years ago
- ☆17Updated 4 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆51Updated 4 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆13Updated 2 years ago
- ☆15Updated 3 years ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆13Updated 5 months ago
- ☆9Updated 4 years ago
- ☆22Updated 5 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆25Updated 10 months ago
- Representation Learning in RL☆16Updated 2 years ago
- Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the p…☆19Updated last year
- Efficient joint input optimization and inference with DEQ☆10Updated 3 years ago
- ☆69Updated last year
- Official PyTorch implementation of NPwSA: "Neural Processes with Stochastic Attention: Paying more attention to the context dataset (ICLR…☆10Updated 2 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆59Updated 2 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- A collection of papers and readings for non-convex optimization☆32Updated 5 years ago
- ☆16Updated last year
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- ☆10Updated last year
- ☆17Updated last year
- This is the pytorch implementation of the UAI2023 paper "A Trajectory is Worth Three Sentences: Multimodal Transformer for Offline Reinf…☆11Updated last year
- [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
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆25Updated last year
- Code Repository for NeurIPS 2021 accepted paper, named "Torwards Gradient-based Bilevel Optimization with non-convex Followers and Beyond…☆10Updated 2 years ago
- ☆23Updated 3 years ago
- Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning☆37Updated last year
- a curated list of bayesian optimization tutorials, papers, softwares☆27Updated 3 years ago
- Companion code to the preprint: E Bıyık, K Wang, N Anari, D Sadigh, "Batch Active Learning using Determinantal Point Processes". arXiv pr…☆14Updated 6 months ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆17Updated 2 years ago