Álvaro Cartea

Orcid: 0000-0002-7426-4645

According to our database1, Álvaro Cartea authored at least 31 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
The Neural Tangent Kernel for Classification.
CoRR, May, 2026

Doubly Outlier-Robust Online Infinite Hidden Markov Model.
CoRR, April, 2026

Activation-Space Uncertainty Quantification for Pretrained Networks.
CoRR, February, 2026

Richer Bayesian Last Layers with Subsampled NTK Features.
CoRR, February, 2026

Algorithmic collusion and a folk theorem from learning with bounded rationality.
Games Econ. Behav., 2026

2025
Weighted Conditional Flow Matching.
CoRR, July, 2025

Scalable Generalized Bayesian Online Neural Network Training for Sequential Decision Making.
CoRR, June, 2025

Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes.
CoRR, February, 2025

Observation Noise and Initialization in Wide Neural Networks.
CoRR, February, 2025

Brokers and Informed Traders: Dealing with Toxic Flow and Extracting Trading Signals.
SIAM J. Financial Math., 2025

Martingale Posterior Neural Networks for Fast Sequential Decision Making.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Data-Driven Trade Flow Decomposition for Exchange-Traded Funds and their Constituents.
Proceedings of the 6th ACM International Conference on AI in Finance, 2025

2024
Decentralized Finance and Automated Market Making: Predictable Loss and Optimal Liquidity Provision.
SIAM J. Financial Math., 2024

Rough Transformers: Lightweight Continuous-Time Sequence Modelling with Path Signatures.
CoRR, 2024

Rough Transformers for Continuous and Efficient Time-Series Modelling.
CoRR, 2024

Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning.
SIAM J. Financial Math., December, 2023

Detecting Toxic Flow.
CoRR, 2023

Execution and Statistical Arbitrage with Signals in Multiple Automated Market Makers.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Correlation Matrix Clustering for Statistical Arbitrage Portfolios.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022
Double-Execution Strategies Using Path Signatures.
SIAM J. Financial Math., December, 2022

Optimal Cross-Border Electricity Trading.
SIAM J. Financial Math., 2022

2021
The Shadow Price of Latency: Improving Intraday Fill Ratios in Foreign Exchange Markets.
SIAM J. Financial Math., 2021

Adaptive Robust Control in Continuous Time.
SIAM J. Control. Optim., 2021

2020
Trading Foreign Exchange Triplets.
SIAM J. Financial Math., 2020

2019
Hedge and Speculate: Replicating Option Payoffs with Limit and Market Orders.
SIAM J. Financial Math., 2019

2018
Algorithmic Trading, Stochastic Control, and Mutually Exciting Processes.
SIAM Rev., 2018

2017
Algorithmic Trading with Model Uncertainty.
SIAM J. Financial Math., 2017

2016
Model Uncertainty in Commodity Markets.
SIAM J. Financial Math., 2016

A Closed-Form Execution Strategy to Target Volume Weighted Average Price.
SIAM J. Financial Math., 2016

2014
Buy Low, Sell High: A High Frequency Trading Perspective.
SIAM J. Financial Math., 2014


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