uclaml

SPIN

The official implementation of Self-Play Fine-Tuning (SPIN)

Rephrase-and-Respond

Official repo of Respond-and-Respond: data, code, and evaluation

RayS

RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)

Padam

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)

PDE

Official repo of Progressive Data Expansion: data, code and evaluation

NeuralUCB

MoE

Towards Understanding the Mixture-of-Experts Layer in Deep Learning

ucla-covid19-forecasts

Frank-Wolfe-AdvML

A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks (AAAI'20)

NeuralTS

svrg-lowrank

fast nonconvex stochastic variance reduced gradient for low-rank matrix estimation

CS269-Winter2019

CS161-Winter2020

Fundamentals of Artificial Intelligence

CS260-Fall2022

FedLinUCB

A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits

VACDB

Variance-aware Contextual Dueling Bandits

Benign-Overfitting-CNN

Benign Overfitting in Two-layer Convolutional Neural Networks

Benign_ReLU_CNN

CS260-Spring2020

Machine Learning

CW-OFUL

Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions

HF-UCRL-VTR

Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs

LDP-UCRL-VTR

Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes

PhyGCN

pretrain-finetune-SGD

The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift

POWERS

Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs

RobustOFUL

Corruption-robust linear contextual bandits

multipass-SGD

Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime

nonconvex-lowrank

nonconvex Low-rank matrix factorization

SSL_Pseudo_Labeler

SSLGC

Selective Sampling on Graphs for Classification