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06/06/2023
Li, Li, and Dai's Contribution to the Discussion of "Estimating Means of Bounded Random Variables by Betting" by Waudby-Smith and Aaditya Ramdas
We congratulate Waudby-Smith and Ramdas for their interesting paper <cit...
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02/20/2023
Continuous Time Analysis of Dynamic Matching in Heterogeneous Networks
This paper addresses the problem of dynamic matching in heterogeneous ne...
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02/02/2023
Robust multi-item auction design using statistical learning: Overcoming uncertainty in bidders' types distributions
This paper presents a novel mechanism design for multi-item auction sett...
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01/24/2023
Double Matching Under Complementary Preferences
In this paper, we propose a new algorithm for addressing the problem of ...
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11/23/2022
Incentive-Aware Recommender Systems in Two-Sided Markets
Online platforms in the Internet Economy commonly incorporate recommende...
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09/16/2022
Nonparametric Estimation via Mixed Gradients
Traditional nonparametric estimation methods often lead to a slow conver...
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12/02/2021
On Large Batch Training and Sharp Minima: A Fokker-Planck Perspective
We study the statistical properties of the dynamic trajectory of stochas...
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10/24/2021
Post-Regularization Confidence Bands for Ordinary Differential Equations
Ordinary differential equation (ODE) is an important tool to study the d...
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05/25/2021
Kernel Knockoffs Selection for Nonparametric Additive Models
Thanks to its fine balance between model flexibility and interpretabilit...
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03/12/2021
A Resampling Approach For causal Inference On Novel Two-Point Time-Series With Application To Identify Risk Factors For Type-2 Diabetes And Cardiovascular Disease
Two-point time-series data, characterized by baseline and follow-up obse...
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03/12/2021
Orthogonal Statistical Inference for Multimodal Data Analysis
Multimodal imaging has transformed neuroscience research. While it prese...
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02/13/2021
Multi-Stage Decentralized Matching Markets: Uncertain Preferences and Strategic Behaviors
Matching markets are often organized in a multi-stage and decentralized ...
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10/29/2020
Learning Strategies in Decentralized Matching Markets under Uncertain Preferences
We study two-sided decentralized matching markets in which participants ...
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08/07/2020
Kernel Ordinary Differential Equations
Ordinary differential equations (ODE) are widely used in modeling biolog...
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12/03/2018
Towards Theoretical Understanding of Large Batch Training in Stochastic Gradient Descent
Stochastic gradient descent (SGD) is almost ubiquitously used for traini...
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10/25/2018
Alzheimer's Disease Prediction Using Longitudinal and Heterogeneous Magnetic Resonance Imaging
Recent evidence has shown that structural magnetic resonance imaging (MR...
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06/05/2018
Selection and Estimation Optimality in High Dimensions with the TWIN Penalty
We introduce a novel class of variable selection penalties called TWIN, ...
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01/31/2018
