Allen Liu
9 papers · 2020–2024 · 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 · Silver
🗺️
Taxonomy Completionist
(22)
🔥
Unstoppable · Bronze
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(9)
Core Methods
(8)
Optimization & Theory
(7)
Mathematics & Optimization
(5)
Optimization
(5)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Foundations
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Keywords
approximation algorithm
(2)
matrix completion
(2)
gaussian mixture model
(2)
learning theory
(1)
model selection
(1)
online learning
(1)
adversarial learning
(1)
parameter estimation
(1)
high-dimensional statistics
(1)
tensor decomposition
(1)
subspace identification
(1)
nearest neighbor
(1)
multi-class classification
(1)
time series modeling
(1)
linear regression
(1)
online advertising
(1)
low-rank recovery
(1)
alternating minimization
(1)
robust estimation
(1)
sparse recovery
(1)
Papers
Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting
NeurIPS 2024
Constant Approximation for Individual Preference Stable Clustering
NeurIPS 2023
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems
ICML 2023
Learning GMMs with Nearly Optimal Robustness Guarantees
COLT 2022
Robust Model Selection and Nearly-Proper Learning for GMMs
NeurIPS 2022
Margin-Independent Online Multiclass Learning via Convex Geometry
NeurIPS 2021
Better Algorithms for Estimating Non-Parametric Models in Crowd-Sourcing and Rank Aggregation
COLT 2020
Myersonian Regression
NeurIPS 2020
Tensor Completion Made Practical
NeurIPS 2020