tuantran23012000 / PHN-CSFLinks
Code for "A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications"
☆16Updated last year
Alternatives and similar repositories for PHN-CSF
Users that are interested in PHN-CSF are comparing it to the libraries listed below
Sorting:
- ☆72Updated last year
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆17Updated last year
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆99Updated 4 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆65Updated 3 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆105Updated 3 years ago
- code for ‘Towards Long-term Fairness in Recommendation’☆23Updated 2 years ago
- ☆42Updated 2 months ago
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆141Updated 5 years ago
- Code for our paper 'Dynamically Expandable Graph Convolution for Streaming Recommendation' accepted by the Web Conference (WWW) 2023.☆24Updated 2 years ago
- A Real-World Benchmark for Reinforcement Learning based Recommender System☆233Updated last year
- Recommendation system with actor and critic☆18Updated 3 years ago
- Fair Representation Learning for Recommendation: A Mutual Information-Based Perspective. AAAI, 2023.☆13Updated 2 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 3 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆46Updated 2 years ago
- A collection of the pytorch implementation of neural bandit algorithm includes neuralUCB(Neural Contextual Bandits with UCB-based Explora…☆25Updated 5 months ago
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 4 years ago
- 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
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆26Updated 2 years ago
- ☆48Updated 5 years ago
- A PyTorch implementation of the DRR framework (deep reinforcement learning, DDPG, PER, PMF) as it applies to restaurant recommendation.☆21Updated last year
- A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.☆40Updated 6 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 3 years ago
- A Model Agnostic Multi-Objective Framework for Deep Learning models☆32Updated 5 years ago
- MovieLens recommendation system using reinforcement learning (GYM + PPO)☆50Updated 5 years ago
- Source codes for our SIGIR '23 paper☆32Updated 2 years ago
- [AAAI-26] MPaGE: Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Op…☆18Updated 4 months ago
- ☆18Updated 4 years ago
- This repository aims to provide comprehensive paper lists of work on fairness and diversity in recommender systems.☆25Updated 2 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 3 years ago
- Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019☆20Updated 3 years ago