Lizhen Nie

4 papers · 2020–2022 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) ICLR (1) ICML (1)

Top co-authors

Dan Nicolae (3) Mao Ye (2) Qiang Liu (2) Denny Zhou (1) Chengyue Gong (1) Adam Klivans (1)

Research topics

Machine Learning (4) Optimization & Theory · Machine Learning (3) Deep Learning (2) Core Methods (2) Artificial Intelligence (1) Data Science & Analytics (1) Application Areas (1) Architectures (1) Core AI (1) Learning Types (1) Methods (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

neural network (2) change point detection (2) model compression (1) causal inference (1) statistical inference (1) network pruning (1) distribution shift (1) greedy selection (1) conditional distribution (1) treatment effect (1) observational data (1) statistical guarantee (1) varying coefficient model (1) non-parametric method (1) pretrained network (1) distribution change (1) dose-response curve (1) greedy forward selection (1) gradual change detection (1) covariate analysis (1)

Papers

Detection and Localization of Changes in Conditional Distributions NeurIPS 2022 A nonparametric method for gradual change problems with statistical guarantees NeurIPS 2021 VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments ICLR 2021 Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection ICML 2020