Laura Balzano
19 papers · 2012–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Conference Polyglot (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Academic Marathon (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
π
Keyword Champion
(3)
π
Conference Pioneer
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(82)
π
Century Club
(19)
β‘
Prolific Year
(5)
Conferences
ICML (7)
AISTATS (5)
JMLR (3)
NIPS (2)
ICLR (1)
L4DC (1)
Top co-authors
Keywords
matrix completion
(4)
online learning
(3)
subspace estimation
(3)
subspace clustering
(3)
low-rank matrix
(3)
matrix factorization
(2)
convergence analysis
(2)
representation learning
(2)
subspace learning
(1)
feature extraction
(1)
regret analysis
(1)
principal component analysis
(1)
combinatorial optimization
(1)
convex optimization
(1)
transfer learning
(1)
active learning
(1)
global optimization
(1)
low-rank approximation
(1)
gradient descent
(1)
markov chain monte carlo
(1)
Papers
Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination
JMLR 2025
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
ICML 2024
Efficient Low-Dimensional Compression of Overparameterized Models
AISTATS 2024
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
AISTATS 2024
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
ICML 2024
Symmetric Matrix Completion with ReLU Sampling
ICML 2024
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
ICML 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold
NIPS 2022
Clustering-based Mode Reduction for Markov Jump Systems
L4DC 2022
On the equivalence of Ojaβs algorithm and GROUSE
AISTATS 2022
Preference Modeling with Context-Dependent Salient Features
ICML 2020
Online matrix factorization for Markovian data and applications to Network Dictionary Learning
JMLR 2020
Streaming Principal Component Analysis From Incomplete Data
JMLR 2019
LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING
ICLR 2018
Algebraic Variety Models for High-Rank Matrix Completion
ICML 2017
Leveraging Union of Subspace Structure to Improve Constrained Clustering
ICML 2017
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
AISTATS 2016
Matrix Completion Under Monotonic Single Index Models
NIPS 2015
High-Rank Matrix Completion
AISTATS 2012