Alternatives and similar repositories for EPOSearch

Users that are interested in EPOSearch are comparing it to the libraries listed below

• Xi-L / ParetoMTL
  Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning
  ☆141Updated 5 years ago
• Baijiong-Lin / MOML
  [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning
  ☆15Updated last year
• ruchtem / cosmos
  This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.
  ☆39Updated 4 years ago
• xiaofangxd / Multi-objective-optimization-and-Multi-task-Learning
  ☆74Updated last year
• JunjieYang97 / stocBiO
  Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"
  ☆50Updated 3 years ago
• pmichel31415 / P-DRO
  Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…
  ☆28Updated 3 years ago
• daniellevy / fast-dro
  PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets
  ☆62Updated 3 years ago
• xzhang2523 / libmoon
  LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
  ☆110Updated 7 months ago
• jparkerholder / PB2
  Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.
  ☆20Updated 4 years ago
• gnobitab / MultiObjectiveSampling
  ☆17Updated 3 years ago
• Cranial-XIX / CAGrad
  Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)
  ☆135Updated last year
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆30Updated last year
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆88Updated 4 years ago
• StanfordASL / moca
  ☆32Updated 2 years ago
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆99Updated 3 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆67Updated 4 years ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆49Updated 5 months ago
• mit-gfx / ContinuousParetoMTL
  [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
  ☆148Updated 4 years ago
• VITA-Group / L2O-Training-Techniques
  [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …
  ☆28Updated 3 years ago
• CausalRL / DRL
  Deconfounding Reinforcement Learning in Observational Settings
  ☆52Updated 6 years ago
• vis-opt-group / BLO
  Bi-level Optimization for Advanced Deep Learning
  ☆47Updated 3 years ago
• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆74Updated 4 years ago
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆21Updated 5 years ago
• changliu00 / causal-semantic-generative-model
  Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …
  ☆76Updated 3 years ago
• lamda-bbo / MCTS-VS
  Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"
  ☆42Updated 2 years ago
• VITA-Group / Open-L2O
  Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
  ☆286Updated 2 years ago
• tushuhei / gpucb
  Simple implementation of GP-UCB algorithm.
  ☆54Updated 8 years ago
• timlautk / BCD-for-DNNs-PyTorch
  Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
  ☆37Updated 6 years ago
• JunjieYang97 / MRVRBO
  Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"
  ☆15Updated 3 years ago
• Xi-L / PSL-MOBO
  ☆35Updated last year