Jinchi Lv

Orcid: 0000-0002-5881-9591

According to our database1, Jinchi Lv authored at least 29 papers between 2005 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
CART Random Forests as Sequential Allocation over Random Opportunity Sets: A Stochastic-Control Theory of Ensemble Risk.
CoRR, May, 2026

Harnessing Unimodality in Semiparametric Contextual Pricing via Oracle Price Map Learning.
CoRR, May, 2026

SMART: A Spectral Transfer Approach to Multi-Task Learning.
CoRR, April, 2026

LIDS: LLM Summary Inference Under the Layered Lens.
CoRR, March, 2026

2025
MOSAIC: Minimax-Optimal Sparsity-Adaptive Inference for Change Points in Dynamic Networks.
CoRR, September, 2025

LLM-Powered CPI Prediction Inference with Online Text Time Series.
CoRR, June, 2025

SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses.
CoRR, April, 2025

Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices.
CoRR, March, 2025

Asymptotic FDR Control with Model-X Knockoffs: Is Moments Matching Sufficient?
CoRR, February, 2025

DeepDeconUQ estimates malignant cell fraction prediction intervals in bulk RNA-seq tissue.
PLoS Comput. Biol., 2025

Precise Asymptotics and Refined Regret of Variance-Aware UCB.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
HNCI: High-Dimensional Network Causal Inference.
CoRR, 2024

Exogenous Randomness Empowering Random Forests.
CoRR, 2024

DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM.
CoRR, 2024

2022
SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals.
CoRR, 2022

FACT: High-Dimensional Random Forests Inference.
CoRR, 2022

2021
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Inf. Syst. Res., 2021

Nonsparse Learning with Latent Variables.
Oper. Res., 2021

Dimension-Free Average Treatment Effect Inference with Deep Neural Networks.
CoRR, 2021

2019
SOFAR: Large-Scale Association Network Learning.
IEEE Trans. Inf. Theory, 2019

Scalable Interpretable Multi-Response Regression via SEED.
J. Mach. Learn. Res., 2019

Nonuniformity of P-values Can Occur Early in Diverging Dimensions.
J. Mach. Learn. Res., 2019

2018
IPAD: Stable Interpretable Forecasting with Knockoffs Inference.
CoRR, 2018

DNN: A Two-Scale Distributional Tale of Heterogeneous Treatment Effect Inference.
CoRR, 2018

DeepPINK: reproducible feature selection in deep neural networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016
The Constrained Dantzig Selector with Enhanced Consistency.
J. Mach. Learn. Res., 2016

Estimating and testing high-dimensional mediation effects in epigenetic studies.
Bioinform., 2016

2011
Nonconcave Penalized Likelihood With NP-Dimensionality.
IEEE Trans. Inf. Theory, 2011

2005
Compact space-like hypersurfaces in de Sitter space.
Int. J. Math. Math. Sci., 2005


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