emsbach / probability-and-computing-solutions
Probability and Computing (Second Edition). Michael Mitzenmacher, Eli Upfal
☆42Updated 6 years ago
Alternatives and similar repositories for probability-and-computing-solutions:
Users that are interested in probability-and-computing-solutions are comparing it to the libraries listed below
- Code and data for the paper "Understanding Hidden Context in Preference Learning: Consequences for RLHF"☆28Updated last year
- Crawl & visualize ICLR papers and reviews☆108Updated 2 years ago
- ☆23Updated 4 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 3 years ago
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆37Updated 3 years ago
- WIP implementation of https://arxiv.org/pdf/1901.08162.pdf☆9Updated 4 years ago
- KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation☆22Updated 2 years ago
- Code for paper: Neural Architecture Search in Graph Neural Networks (BRACIS 2020)☆18Updated last year
- ☆13Updated 2 years ago
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆13Updated 7 months ago
- Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…☆20Updated 2 years ago
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆20Updated last year
- Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.☆43Updated 2 years ago
- CS 294-112 @ UCB Deep RL☆23Updated last year
- Theory of Reinforcement Learning☆16Updated 3 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆65Updated last year
- Official implementation of NeurIPS'24 Spotlight paper "Monte Carlo Tree Search based Space Transfer for Black-box Optimization".☆10Updated 3 months ago
- ☆28Updated last year
- ☆15Updated 10 months ago
- ☆23Updated 2 years ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 3 years ago
- ☆16Updated last week
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆37Updated last year
- Evaluating Safety of Autonomous Agents in Mobile Device Control☆19Updated last month
- 🗂 Graph Learning Indexer: a contributor-friendly and metadata-rich platform for graph learning benchmarks. Dataloading, Benchmarking, Ta…☆42Updated 11 months ago
- Baseline for NeurIPS_Auto_Bidding_General_Track☆30Updated 6 months ago
- ☆12Updated 2 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)☆11Updated last year
- ☆15Updated last year