Tal Wagner
20 papers · 2012–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (13)
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Taxonomy Completionist
(31)
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Conference Polyglot
(4)
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Dynamic Duo
(14)
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Triple Crown
π§¬
Topic Evolution
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Keyword Collector
(81)
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Century Club
(20)
π₯
Unstoppable
(7)
Conferences
ICML (6)
NIPS (6)
ICLR (5)
COLT (3)
Top co-authors
Keywords
high-dimensional datum
(3)
kernel density estimation
(2)
low rank approximation
(2)
sublinear algorithm
(2)
semi-supervised learning
(1)
multi-task learning
(1)
differential privacy
(1)
binary classification
(1)
metric learning
(1)
regularization
(1)
convex optimization
(1)
matrix factorization
(1)
natural language processing
(1)
density estimation
(1)
optimal transport
(1)
network architecture
(1)
graph theory
(1)
sample complexity
(1)
neural network optimization
(1)
label propagation
(1)
Papers
Learning from End User Data with Shuffled Differential Privacy over Kernel Densities
ICLR 2025
Improved Algorithms for Kernel Matrix-Vector Multiplication Under Sparsity Assumptions
ICLR 2025
Fast Private Kernel Density Estimation via Locality Sensitive Quantization
ICML 2023
Streaming Algorithms for Support-Aware Histograms
ICML 2022
Triangle and Four Cycle Counting with Predictions in Graph Streams
ICLR 2022
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
NIPS 2022
Generalization Bounds for Data-Driven Numerical Linear Algebra
COLT 2022
Learning-based Support Estimation in Sublinear Time
ICLR 2021
Few-Shot Data-Driven Algorithms for Low Rank Approximation
NIPS 2021
Faster Kernel Matrix Algebra via Density Estimation
ICML 2021
Learning Space Partitions for Nearest Neighbor Search
ICLR 2020
Scalable Nearest Neighbor Search for Optimal Transport
ICML 2020
Space and Time Efficient Kernel Density Estimation in High Dimensions
NIPS 2019
Scalable Fair Clustering
ICML 2019
Sample-Optimal Low-Rank Approximation of Distance Matrices
COLT 2019
Semi-Supervised Learning on Data Streams via Temporal Label Propagation
ICML 2018
Approximate Nearest Neighbors in Limited Space
COLT 2018
Practical Data-Dependent Metric Compression with Provable Guarantees
NIPS 2017
A graph-theoretic approach to multitasking
NIPS 2017
Volume Regularization for Binary Classification
NIPS 2012