Linsey Pang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Reinforcement Learning

Strongly Correlated

Outlier Detection

Top Venues

INFORMS J. Appl. Anal.

Publications

Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape. CoRR (2024)
Ankur Teredesai, Michael Zeller, Mohak Shah, Shenghua Bao, Wee Hyong Tok, Linsey Pang
The 2nd International Workshop: From Innovation to Scale (I2S) - Successfully Build, Commercialize, and Scale AI Innovations. KDD (2024)
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
AdKDD 2024. KDD (2024)
Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis
The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024). WSDM (2024)
Qiang Li, Yiqiao Sun, Linsey Pang, Liang Sun, Qingsong Wen
Stable Synthetic Control with Anomaly Detection for Causal Inference. SDM (2024)
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. ICLR (2024)
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. CoRR (2024)
Ankur M. Teredesai, Michael Zeller, Shenghua Bao, Wee Hyong Tok, Linsey Pang
From Innovation to Scale (I2S) - Discuss and Learn How to Successfully Build, Commercialize, and Scale AI Innovations in Challenging Market Conditions. KDD (2023)
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
AdKDD 2023. KDD (2023)
Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis
The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom). WWW (Companion Volume) (2023)
Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey
Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning. KDD (2023)
Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla
Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach. Knowl. Inf. Syst. 64 (9) (2022)
Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang
Deep Learning for Search and Recommendation. CIKM (2022)
Linsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen Guo
Deep Search Relevance Ranking in Practice. KDD (2022)
Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen Guo, Raghav Chalapathy, Musen Wen
Applied Machine Learning Methods for Time Series Forecasting. CIKM (2022)
Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie
AdKDD 2022. KDD (2022)
Ketki Gupte, Linsey Pang, Harshada Vuyyuri, Sujitha Pasumarty
Multimodal Product Matching and Category Mapping: Text+Image based Deep Neural Network. IEEE BigData (2021)
Yixian Chen, Prakhar Mehrotra, Nitin Kishore Sai Samala, Kamilia Ahmadi, Viresh Jivane, Linsey Pang, Monika Shrivastav, Nate Lyman, Scott Pleiman
A Multiobjective Optimization for Clearance in Walmart Brick-and-Mortar Stores. INFORMS J. Appl. Anal. 51 (1) (2021)
Prakhar Mehrotra, Linsey Pang, Karthick Gopalswamy, Avinash Thangali, Timothy Winters, Ketki Gupte, Dnyanesh Kulkarni, Sunil Potnuru, Supreeth Shastry, Harshada Vuyyuri
Price Investment using Prescriptive Analytics and Optimization in Retail. KDD (2020)
Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla
Prescriptive Learning for Air-Cargo Revenue Management. ICDM (2020)
Stefano Giovanni Rizzo, Linsey Pang, Yixian Chen, Sanjay Chawla
Probabilistic Outlier Detection and Generation. CoRR (2020)