output
20152025
most citedImage Based Appraisal of Real Estate Properties

71 citations

8 papers

cs.IR2025

Genicious: Contextual Few-shot Prompting for Insights Discovery

Vineet Kumar, Ronald Tony, Darshita Rathore +5

Data and insights discovery is critical for decision-making in modern organizations. We present Genicious, an LLM-aided interface that enables users to interact with tabular datase…

q-fin.CP2024★ 4 cited

A Multi-agent Market Model Can Explain the Impact of AI Traders in Financial Markets -- A New Microfoundations of GARCH model

Kei Nakagawa, Masanori Hirano, Kentaro Minami +1

The AI traders in financial markets have sparked significant interest in their effects on price formation mechanisms and market volatility, raising important questions for market s…

stat.ML2022

Disentangling Mixtures of Unknown Causal Interventions

Abhinav Kumar, Gaurav Sinha

In many real-world scenarios, such as gene knockout experiments, targeted interventions are often accompanied by unknown interventions at off-target sites. Moreover, different unit…

quant-ph2022★ 22 cited

Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection

Christa Zoufal, Ryan V. Mishmash, Nitin Sharma +6

We introduce a variational quantum algorithm to solve unconstrained black box binary optimization problems, i.e., problems in which the objective function is given as black box. Th…

cs.DS2020★ 6 cited

On Polynomial Modular Number Systems over

Jean Claude Bajard, Jérémy Marrez, Thomas Plantard +1

Since their introduction in 2004, Polynomial Modular Number Systems (PMNS) have become a very interesting tool for implementing cryptosystems relying on modular arithmetic in a sec…

cs.CV2016★ 71 cited

Image Based Appraisal of Real Estate Properties

Quanzeng You, Ran Pang, Liangliang Cao +1

Real estate appraisal, which is the process of estimating the price for real estate properties, is crucial for both buys and sellers as the basis for negotiation and transaction. T…

cs.DS2015★ 22 cited

Column Selection via Adaptive Sampling

Saurabh Paul, Malik Magdon-Ismail, Petros Drineas

Selecting a good column (or row) subset of massive data matrices has found many applications in data analysis and machine learning. We propose a new adaptive sampling algorithm tha…

stat.ML2015★ 2 cited

Feature Selection for Ridge Regression with Provable Guarantees

Saurabh Paul, Petros Drineas

We introduce single-set spectral sparsification as a deterministic sampling based feature selection technique for regularized least squares classification, which is the classificat…