◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Qifan Song

26 papers hereh-index 17965 citations48 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author5
  • middle author17
  • last author3

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • stat.ML17
  • math.ST5
  • stat.ME2
  • cs.LG1
  • stat.CO1
same name
  • Qifan Song — 8 papers, h 4
  • Qifan Song — 5 papers, h 3
  • Qifan Song — 5 papers, h 1
  • Qifan Song — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132023
most citedNearly optimal Bayesian Shrinkage for High Dimensional Regression

48 citations · 108 across the 26 of their papers we have counts for

collaborators
Showing 2023 · stat.MLShow all

4 papers · 2 filters

stat.ML2023

A New Paradigm for Generative Adversarial Networks based on Randomized Decision Rules

Sehwan Kim, Qifan Song, Faming Liang

The Generative Adversarial Network (GAN) was recently introduced in the literature as a novel machine learning method for training generative models. It has many applications in st…

stat.ML2023

Matrix Completion from General Deterministic Sampling Patterns

Hanbyul Lee, Rahul Mazumder, Qifan Song +1

Most of the existing works on provable guarantees for low-rank matrix completion algorithms rely on some unrealistic assumptions such that matrix entries are sampled randomly or th…

stat.ML2023

PyXAB -- A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

Wenjie Li, Haoze Li, Jean Honorio +1

We introduce a Python open-source library for X-armed bandit and online blackbox optimization named PyXAB. PyXAB contains the implementations for more than 10 $\mathcal…

stat.ML2023

Support Recovery in Sparse PCA with Non-Random Missing Data

Hanbyul Lee, Qifan Song, Jean Honorio

We analyze a practical algorithm for sparse PCA on incomplete and noisy data under a general non-random sampling scheme. The algorithm is based on a semidefinite relaxation of the…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.