uclaml/NeuralUCB

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28
Rank 882,216 (Top 18 %)
Language
Python
Created over 4 years ago
Updated over 4 years ago

uclaml/NeuralUCB

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SPIN

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

SPPO

The official implementation of Self-Play Preference Optimization (SPPO)

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

Jupyter Notebook

MoE

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

Jupyter Notebook

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

CS161-Winter2022

CS161-Winter2022

CS269-Winter2019

nonconvex-RPCA

fast nonconvex algorithm for robust PCA

nonconvex-IMC

fast nonconvex algorithm for inductive matrix completion

FedLinUCB

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

Jupyter Notebook

CS260-Fall18

Machine Learning

FLASH

Fast Local minimA finding with third-order SmootHness (FLASH)

CS269-Spring2021

Foundations of Deep Learning

CS161-Winter2020

Fundamentals of Artificial Intelligence

GFA-RFE

Uncertainty-Aware Reward-Free Exploration with General Function Approximation

PhyGCN

VACDB

Variance-aware Contextual Dueling Bandits

CS161-Winter2023

CS161-Winter2023 Fundamentals of Artificial Intelligence

pretrain-finetune-SGD

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

Jupyter Notebook

LDP-UCRL-VTR

Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes

CS260-Spring2020

Machine Learning

Benign-Overfitting-CNN

Benign Overfitting in Two-layer Convolutional Neural Networks

Jupyter Notebook

CS260-Fall2021

CS260-Fall2022

CS269-Spring2022

CP-time-series-clustering

High-dimensional Time Series Clustering via Cross-Predictability

Benign_ReLU_CNN

CW-OFUL

Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions

Jupyter Notebook

nonconvex-LVGGM

fast nonconvex algorithm for latent variable Gaussian graphical models