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Haotian Jiang

26 papers hereh-index 211.3k citations57 works total

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

author position
  • sole author3
  • first author8
  • middle author14
  • last author1

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

fields
  • cs.DS17
  • cs.LG3
  • cs.NI2
  • cs.PF1
  • math.FA1
  • math.OC1
same name
  • Haotian Jiang — 5 papers, h 3
  • Haotian Jiang — 2 papers, h 2
  • Haotian Jiang — 1 paper, h 1
  • Haotian Jiang — 1 paper, h 4
  • Haotian Jiang — 1 paper, h 2
  • Haotian Jiang — 1 paper, h 0

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
20162023
most citedPractical Algorithms for Best-K Identification in Multi-Armed Bandits

8 citations · 32 across the 23 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.DS2021

Prefix Discrepancy, Smoothed Analysis, and Combinatorial Vector Balancing

Nikhil Bansal, Haotian Jiang, Raghu Meka +2

A well-known result of Banaszczyk in discrepancy theory concerns the prefix discrepancy problem (also known as the signed series problem): given a sequence of T unit vectors in $…

cs.DS2021

A New Framework for Matrix Discrepancy: Partial Coloring Bounds via Mirror Descent

Daniel Dadush, Haotian Jiang, Victor Reis

Motivated by the Matrix Spencer conjecture, we study the problem of finding signed sums of matrices with a small matrix norm. A well-known strategy to obtain these signs is to prov…

cs.DS2021

A Tighter Relation Between Hereditary Discrepancy and Determinant Lower Bound

Haotian Jiang, Victor Reis

In seminal work, Lovász, Spencer, and Vesztergombi [European J. Combin., 1986] proved a lower bound for the hereditary discrepancy of a matrix A∈Rm×n in te…

cs.LG2021★ 2 cited

Approximation Theory of Convolutional Architectures for Time Series Modelling

Haotian Jiang, Zhong Li, Qianxiao Li

We study the approximation properties of convolutional architectures applied to time series modelling, which can be formulated mathematically as a functional approximation problem.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.