This is your work, valued
The artificial general intelligence lab (formerly known as statistical machine learning lab) at UCLA is led by Prof. Quanquan Gu in the computer science dept.
SPIN. The official implementation of Self-Play Fine-Tuning (SPIN)
1.2kSPPO. The official implementation of Self-Play Preference Optimization (SPPO)
589Rephrase-and-Respond. Official repo of Respond-and-Respond: data, code, and evaluation
104RayS. RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)
57NeuralUCB. Python
52Padam. Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks" (accepted by IJCAI 2020)
40MoE. Towards Understanding the Mixture-of-Experts Layer in Deep Learning
35PDE. Official repo of Progressive Data Expansion: data, code and evaluation
29COPS. The official implementation of Cross-Task Experience Sharing (COPS)
29ucla-covid19-forecasts. Python
14Frank-Wolfe-AdvML. A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks (AAAI'20)
11NeuralTS. Python
9svrg-lowrank. fast nonconvex stochastic variance reduced gradient for low-rank matrix estimation
8nonconvex-RPCA. fast nonconvex algorithm for robust PCA
5GFA-RFE. Uncertainty-Aware Reward-Free Exploration with General Function Approximation
5CS269-Winter2019.
4CW-OFUL. Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
3Benign-Overfitting-CNN. Benign Overfitting in Two-layer Convolutional Neural Networks
3nonconvex-IMC. fast nonconvex algorithm for inductive matrix completion
3CS260-Fall2022.
3PhyGCN. Python
2Benign_ReLU_CNN. Python
2VACDB. Variance-aware Contextual Dueling Bandits
2FedLinUCB. A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
2CS260-Fall18. Machine Learning
2CS161-Winter2020. Fundamentals of Artificial Intelligence
2pretrain-finetune-SGD. The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift
2FLASH. Fast Local minimA finding with third-order SmootHness (FLASH)
2CS260-Spring2020. Machine Learning
1CP-time-series-clustering. High-dimensional Time Series Clustering via Cross-Predictability
1LDP-UCRL-VTR. Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes
1nonconvex-CGGM. fast nonconvex algorithm for covariate-adjusted precision matrix estimation/conditional Gaussian graphical model estimation
1SSL_Pseudo_Labeler. Python
1nonconvex-LVGGM. fast nonconvex algorithm for latent variable Gaussian graphical models
1DNDM. Python
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