Decadz / Evolved-Model-Agnostic-LossLinks
[TPAMI 2023] Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. Paper Link: https://arxiv.org/abs/2209.08907
☆15Updated last year
Alternatives and similar repositories for Evolved-Model-Agnostic-Loss
Users that are interested in Evolved-Model-Agnostic-Loss are comparing it to the libraries listed below
Sorting:
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆37Updated 2 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆29Updated 3 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆12Updated 2 years ago
- Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories☆43Updated 2 years ago
- ☆29Updated 3 years ago
- High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm☆29Updated 3 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 5 years ago
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆13Updated 2 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆31Updated last year
- Neuroevolution Benchmark in JAX 🦕☆40Updated 2 years ago
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆23Updated 5 months ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 3 years ago
- Lottery Tickets in Evolutionary Optimization (Lange & Sprekeler, ICML 2023)☆17Updated 2 years ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆37Updated last year
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆42Updated 2 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆19Updated last year
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 3 years ago
- Code repository for Ensemble Bayesian Optimization☆55Updated 6 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- Simple and extensible hypergradient for PyTorch☆18Updated 2 years ago
- ☆17Updated 4 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆50Updated 5 months ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆61Updated 3 years ago
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆18Updated 2 years ago
- Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data☆26Updated 4 years ago
- Automatic Recall Machines: Internal Replay, Continual Learning and the Brain☆11Updated 5 years ago
- ☆89Updated 6 months ago
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆14Updated last year
- An adaptive training algorithm for residual network☆17Updated 5 years ago