Allen Liu
9 papers · 2020–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Interdisciplinary Bridge π Cross-Pollinator (14)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(20)
π₯
Unstoppable
(5)
Conferences
NIPS (6)
COLT (2)
ICML (1)
Top co-authors
Keywords
approximation algorithm
(2)
gaussian mixture model
(2)
matrix completion
(2)
learning theory
(1)
model selection
(1)
online learning
(1)
adversarial learning
(1)
parameter estimation
(1)
tensor decomposition
(1)
multiclass classification
(1)
subspace identification
(1)
nearest neighbor
(1)
linear regression
(1)
alternating minimization
(1)
low-rank recovery
(1)
online advertising
(1)
robust estimation
(1)
rank aggregation
(1)
low-rank tensor
(1)
sparse recovery
(1)
Papers
Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting
NIPS 2024
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems
ICML 2023
Constant Approximation for Individual Preference Stable Clustering
NIPS 2023
Robust Model Selection and Nearly-Proper Learning for GMMs
NIPS 2022
Learning GMMs with Nearly Optimal Robustness Guarantees
COLT 2022
Margin-Independent Online Multiclass Learning via Convex Geometry
NIPS 2021
Myersonian Regression
NIPS 2020
Tensor Completion Made Practical
NIPS 2020
Better Algorithms for Estimating Non-Parametric Models in Crowd-Sourcing and Rank Aggregation
COLT 2020