Skip to content

morganstanley/MSML

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

58 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Morgan Stanley Machine Learning Research

This respository contains code for papers and projects published by the Morgan Stanley Machine Learning Research team.

Who We Are

The Machine Learning Research team at Morgan Stanley harnesses the advances of machine learning techniques across the firm. The ML Research team is comprised of hyper-specialist researchers who work on fundamental and complex problems. The team has worked in a wide variety of areas including time series analysis, recommender systems, network theory, NLP for finance, fairness, privacy, and more. The central ML Research team spearheads engagements with academia, both by collaborating with university labs and by publishing in top-tier conferences.

Papers

See also: https://www.morganstanley.com/about-us/technology/machine-learning-research-papers

Year Venue Title Code
2025 TMLR Reweighting Improves Conditional Risk Bounds code
2025 AISTATS Variational Schrödinger Momentum Diffusion code
2024 UAI Reflected Schrodinger Bridge for Constrained Generative Modeling code
2024 NeurIPS Recurrent Interpolants for Probabilistic Time Series Prediction code
2024 NeurIPS Efficient and Sharp Off-policy Evaluation in Robust Markov Decision Processes code
2024 ICML Variational Schrodinger Diffusion Models code
2024 ICML Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics code
2024 AISTATS Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes code
2024 AISTATS Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo code
2023 UAI Short-Term Temporal Dependency Detection Under Heterogeneous Event Dynamic With Hawkes Processes code
2023 UAI Information Theoretic Clustering via Divergence Maximization Among Cluster code
2023 UAI Inference and Sampling of Point Processes from Diffusion Excursions code
2023 UAI In- or Out-of-Distribution Detection via Dual Divergence Estimation code
2023 TMLR Learning to Abstain From Uninformative Data code
2023 ICML Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation code
2023 ICML Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion code
2023 ICLR Workshop On the Existence of a Trojaned Twin Model code
2023 AISTATS Risk Bounds on Aleatoric Uncertainty Recovery code
2022 UAI Estimating Transfer Entropy Under Long-Ranged Dependencies code

Projects

Name Description Links
qqWen Qwen-2.5 series models finetuned for the Q programming language HuggingFace,code

Contact

The team can be reached at [email protected]

Licensing

All files in this repository, unless explicitly mentioned otherwise, are released under the Apache 2.0 license, the text of which can be found in the LICENSE file.

About

No description, website, or topics provided.

Resources

License

Code of conduct

Security policy

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •