Weijie Su | DeepAI

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Featured Co-authors

Jie Zhou
349 publications
Yu Qiao
242 publications
Li Zhang
240 publications
Bin Li
210 publications
Xiaogang Wang
191 publications
Furu Wei
184 publications
Zhou Yu
127 publications
Gao Huang
92 publications
Zhaoxiang Zhang
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Jifeng Dai
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Dino Sejdinovic
66 publications

∙ 06/19/2023

An Isotonic Mechanism for Overlapping Ownership

This paper extends the Isotonic Mechanism from the single-owner to multi...

0 Jibang Wu, et al. ∙

∙ 05/25/2023

Ghost in the Minecraft: Generally Capable Agents for Open-World Enviroments via Large Language Models with Text-based Knowledge and Memory

The captivating realm of Minecraft has attracted substantial research in...

0 Xizhou Zhu, et al. ∙

∙ 11/17/2022

Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information

To effectively exploit the potential of large-scale models, various pre-...

0 Weijie Su, et al. ∙

∙ 07/06/2022

When does SGD favor flat minima? A quantitative characterization via linear stability

The observation that stochastic gradient descent (SGD) favors flat minim...

0 Lei Wu, et al. ∙

∙ 10/08/2020

Deformable DETR: Deformable Transformers for End-to-End Object Detection

DETR has been recently proposed to eliminate the need for many hand-desi...

10 Xizhou Zhu, et al. ∙

∙ 08/06/2020

Benign Overfitting and Noisy Features

Modern machine learning often operates in the regime where the number of...

21 Zhu Li, et al. ∙

∙ 10/18/2019

Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic

This paper proposes SplitSGD, a new stochastic optimization algorithm wi...

0 Matteo Sordello, et al. ∙

∙ 08/22/2019

VL-BERT: Pre-training of Generic Visual-Linguistic Representations

We introduce a new pre-trainable generic representation for visual-lingu...

8 Weijie Su, et al. ∙

∙ 07/17/2019

Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing

SLOPE is a relatively new convex optimization procedure for high-dimensi...

0 Zhiqi Bu, et al. ∙

∙ 06/11/2019

Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks

With the widespread success of deep neural networks in science and techn...

0 Qingyang Wu, et al. ∙

∙ 02/13/2018

Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent

Stochastic gradient descent (SGD) is an immensely popular approach for o...

0 Weijie Su, et al. ∙

∙ 12/20/2017

Statistical Inference for the Population Landscape via Moment Adjusted Stochastic Gradients

Modern statistical inference tasks often require iterative optimization ...

0 Tengyuan Liang, et al. ∙

∙ 08/10/2017

When Does the First Spurious Variable Get Selected by Sequential Regression Procedures?

Applied statisticians use sequential regression procedures to produce a ...

0 Weijie Su, et al. ∙

∙ 11/12/2015

Private False Discovery Rate Control

We provide the first differentially private algorithms for controlling t...

0 Cynthia Dwork, et al. ∙

∙ 11/05/2015

False Discoveries Occur Early on the Lasso Path

In regression settings where explanatory variables have very low correla...

0 Weijie Su, et al. ∙

∙ 06/17/2015

Communication-Efficient False Discovery Rate Control via Knockoff Aggregation

The false discovery rate (FDR)---the expected fraction of spurious disco...

0 Weijie Su, et al. ∙

∙ 03/04/2015

A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights

We derive a second-order ordinary differential equation (ODE) which is t...

0 Weijie Su, et al. ∙

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