naszilla / reczilla
RecZilla: Metalearning for algorithm selection on Recommender Systems
☆22Updated last year
Related projects ⓘ
Alternatives and complementary repositories for reczilla
- [ NeurIPS '22 ] Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.☆22Updated last year
- Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances☆12Updated 2 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Updated last year
- ☆10Updated 4 years ago
- ☆18Updated 2 years ago
- sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization☆20Updated 3 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆19Updated last year
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- ☆12Updated 2 years ago
- This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented …☆12Updated 2 years ago
- ☆21Updated last year
- ☆64Updated last year
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Updated last year
- ☆22Updated 3 years ago
- Accelerated Confergence for Counterfactual Learning to Rank☆16Updated 2 years ago
- [ WSDM '22 ] On Sampling Collaborative Filtering Datasets☆20Updated 2 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆24Updated 5 years ago
- [NeurIPS 2022] DreamShard: Generalizable Embedding Table Placement for Recommender Systems☆28Updated last year
- ☆11Updated 2 years ago
- Python wrapper for LibRec and other recommendation frameworks.☆29Updated last year
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated last year
- ☆12Updated 3 years ago
- Code for the RecSys20 paper -- Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning☆10Updated 4 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- [ NeurIPS '22 ] ∞-AE model's implementation in JAX. Kernel-only method outperforms complicated SoTA models with a closed-form solution an…☆52Updated last year
- Investigate the speed of adaptation of structural causal models☆16Updated 3 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆23Updated last year
- Uncertainty on Asynchronous Time Event Prediction (Spotlight, Neurips 2019)☆18Updated 4 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆22Updated last year