activity
20222026
most citedModeling Temporal Data as Continuous Functions with Stochastic Process Diffusion

7 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

cs.GT2026

Learning to Strategically Acquire Resources in Competition

Safwan Hossain, Mirah Shi, Andrew Bennett +4

We consider multiple agents competing to acquire some costly divisible resource (e.g. shares of a financial asset, compute resources, etc.) over time. Leveraging a standard model f…

cs.LG2023

Learning to Abstain From Uninformative Data

Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard +5

Learning and decision-making in domains with naturally high noise-to-signal ratio, such as Finance or Healthcare, is often challenging, while the stakes are very high. In this pape…

stat.CO2023

Inference and Sampling of Point Processes from Diffusion Excursions

Ali Hasan, Yu Chen, Yuting Ng +3

Point processes often have a natural interpretation with respect to a continuous process. We propose a point process construction that describes arrival time observations in terms…

stat.AP2023

Short-term Temporal Dependency Detection under Heterogeneous Event Dynamic with Hawkes Processes

Yu Chen, Fengpei Li, Anderson Schneider +3

Many event sequence data exhibit mutually exciting or inhibiting patterns. Reliable detection of such temporal dependency is crucial for scientific investigation. The de facto mode…

cs.LG2023★ 3 cited

Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation

Yu Chen, Wei Deng, Shikai Fang +7

The Schrödinger bridge problem (SBP) is gaining increasing attention in generative modeling and showing promising potential even in comparison with the score-based generative model…

cs.LG2022★ 7 cited

Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion

Marin Biloš, Kashif Rasul, Anderson Schneider +2

Temporal data such as time series can be viewed as discretized measurements of the underlying function. To build a generative model for such data we have to model the stochastic pr…

q-fin.TR2022

Do price trajectory data increase the efficiency of market impact estimation?

Fengpei Li, Vitalii Ihnatiuk, Ryan Kinnear +2

Market impact is an important problem faced by large institutional investor and active market participant. In this paper, we rigorously investigate whether price trajectory data fr…