activity
20162025
most citedEquation Embeddings

4 citations · 7 across the 7 of their papers we have counts for

collaborators

9 papers

q-fin.TR2025

Does Overnight News Explain Overnight Returns?

Paul Glasserman, Kriste Krstovski, Paul Laliberte +1

Over the past 30 years, nearly all the gains in the U.S. stock market have been earned overnight, while average intraday returns have been negative or flat. We find that a large pa…

cs.LG2024

Sequential choice in ordered bundles

Rajeev Kohli, Kriste Krstovski, Hengyu Kuang +1

Experience goods such as sporting and artistic events, songs, videos, news stories, podcasts, and television series, are often packaged and consumed in bundles. Many such bundles a…

cs.CL2023★ 1 cited

Inferring gender from name: a large scale performance evaluation study

Kriste Krstovski, Yao Lu, Ye Xu

A person's gender is a crucial piece of information when performing research across a wide range of scientific disciplines, such as medicine, sociology, political science, and econ…

cs.CV2022★ 1 cited

Evons: A Dataset for Fake and Real News Virality Analysis and Prediction

Kriste Krstovski, Angela Soomin Ryu, Bruce Kogut

We present a novel collection of news articles originating from fake and real news media sources for the analysis and prediction of news virality. Unlike existing fake news dataset…

q-fin.ST2020

Choosing News Topics to Explain Stock Market Returns

Paul Glasserman, Kriste Krstovski, Paul Laliberte +1

We analyze methods for selecting topics in news articles to explain stock returns. We find, through empirical and theoretical results, that supervised Latent Dirichlet Allocation (…

cs.CL2020

DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking

Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi +4

The increased focus on misinformation has spurred development of data and systems for detecting the veracity of a claim as well as retrieving authoritative evidence. The Fact Extra…

stat.ML2018★ 4 cited

Equation Embeddings

Kriste Krstovski, David M. Blei

We present an unsupervised approach for discovering semantic representations of mathematical equations. Equations are challenging to analyze because each is unique, or nearly uniqu…

stat.ML2017★ 1 cited

Multilingual Topic Models

Kriste Krstovski, Michael J. Kurtz, David A. Smith +1

Scientific publications have evolved several features for mitigating vocabulary mismatch when indexing, retrieving, and computing similarity between articles. These mitigation stra…

cs.IR2016

Automatic Construction of Evaluation Sets and Evaluation of Document Similarity Models in Large Scholarly Retrieval Systems

Kriste Krstovski, David A. Smith, Michael J. Kurtz

Retrieval systems for scholarly literature offer the ability for the scientific community to search, explore and download scholarly articles across various scientific disciplines.…