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07/23/2023
A meta learning scheme for fast accent domain expansion in Mandarin speech recognition
Spoken languages show significant variation across mandarin and accent. ...
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06/07/2023
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts
A key component of modern conversational systems is the Dialogue State T...
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02/13/2023
Enhancing User Personalization in Conversational Recommenders
Conversational recommenders are emerging as a powerful tool to personali...
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01/26/2023
Evolution of Filter Bubbles and Polarization in News Recommendation
Recent work in news recommendation has demonstrated that recommenders ca...
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01/16/2023
Tale of two c(omplex)ities
For decades, best subset selection (BSS) has eluded statisticians mainly...
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08/08/2022
Towards Fair Conversational Recommender Systems
Conversational recommender systems have demonstrated great success. They...
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08/05/2022
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems
Conversational recommender systems (CRS) have shown great success in acc...
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07/19/2022
ReBoot: Distributed statistical learning via refitting Bootstrap samples
In this paper, we study a one-shot distributed learning algorithm via re...
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07/07/2022
Evolution of Popularity Bias: Empirical Study and Debiasing
Popularity bias is a long-standing challenge in recommender systems. Suc...
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01/14/2022
VarRCWA: An Adaptive High-Order Rigorous Coupled Wave Analysis Method
Semi-analytical methods, such as rigorous coupled wave analysis, have be...
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01/05/2022
High-dimensional variable selection with heterogeneous signals: A precise asymptotic perspective
We study the problem of exact support recovery for high-dimensional spar...
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01/04/2022
Supervised Homogeneity Fusion: a Combinatorial Approach
Fusing regression coefficients into homogenous groups can unveil those c...
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12/28/2021
Session-based Recommendation with Hypergraph Attention Networks
Session-based recommender systems aim to improve recommendations in shor...
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11/29/2021
Rank-Constrained Least-Squares: Prediction and Inference
In this work, we focus on the high-dimensional trace regression model wi...
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10/04/2021
Volatility prediction comparison via robust volatility proxies: An empirical deviation perspective
Volatility forecasting is crucial to risk management and portfolio const...
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07/14/2021
On the early solution path of best subset selection
The early solution path, which tracks the first few variables that enter...
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03/14/2021
Fairness-aware Personalized Ranking Recommendation via Adversarial Learning
Recommendation algorithms typically build models based on historical use...
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10/08/2020
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition
Knowledge of a disease includes information of various aspects of the di...
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07/03/2020
When is best subset selection the "best"?
Best subset selection (BSS) is fundamental in statistics and machine lea...
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06/28/2019
Learning Markov models via low-rank optimization
Modeling unknown systems from data is a precursor of system optimization...
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06/28/2019
High-dimensional principal component analysis with heterogeneous missingness
We study the problem of high-dimensional Principal Component Analysis (P...
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01/03/2019
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation
We propose PsiRec, a novel user preference propagation recommender that ...
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09/09/2018
Fairness-Aware Recommendation of Information Curators
This paper highlights our ongoing efforts to create effective informatio...
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08/12/2018
Robust high dimensional factor models with applications to statistical machine learning
Factor models are a class of powerful statistical models that have been ...
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01/05/2018
Principal component analysis for big data
Big data is transforming our world, revolutionizing operations and analy...
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10/24/2017