Yury Polyanskiy
21 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (4) π Academic Marathon (8) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (24)
π
Conference Polyglot
(4)
π
Academic Marathon
(8)
π
Renaissance Researcher
(5)
π
Century Club
(21)
ποΈ
Keyword Collector
(69)
β‘
Prolific Year
(9)
π₯
Unstoppable
(7)
Conferences
COLT (13)
NIPS (4)
ICML (2)
JMLR (2)
Top co-authors
Keywords
stochastic block model
(3)
sample complexity
(3)
mutual information
(2)
empirical baye
(2)
community detection
(2)
likelihood-free inference
(2)
minimax optimal
(2)
total variation
(2)
generative model
(2)
density estimation
(2)
two-sample testing
(2)
particle system
(2)
belief propagation
(2)
hypothesis testing
(2)
representation learning
(2)
importance sampling
(1)
population estimation
(1)
source separation
(1)
model selection
(1)
minimax estimation
(1)
Papers
Density Estimation Using the Perceptron
JMLR 2025
NestQuant: nested lattice quantization for matrix products and LLMs
ICML 2025
On the Minimax Regret of Sequential Probability Assignment via Square-Root Entropy
COLT 2025
Partial and Exact Recovery of a Random Hypergraph from its Graph Projection
COLT 2025
Clustering in Causal Attention Masking
NIPS 2024
Thresholds for Reconstruction of Random Hypergraphs From Graph Projections
COLT 2024
Entropic characterization of optimal rates for learning Gaussian mixtures
COLT 2023
Empirical Bayes via ERM and Rademacher complexities: the Poisson model
COLT 2023
Minimax optimal testing by classification
COLT 2023
Weak Recovery Threshold for the Hypergraph Stochastic Block Model
COLT 2023
Kernel-Based Tests for Likelihood-Free Hypothesis Testing
NIPS 2023
The emergence of clusters in self-attention dynamics
NIPS 2023
The Sample Complexity of Approximate Rejection Sampling With Applications to Smoothed Online Learning
COLT 2023
Uniqueness of BP fixed point for the Potts model and applications to community detection
COLT 2023
Score-based Source Separation with Applications to Digital Communication Signals
NIPS 2023
Intrinsic Dimension Estimation Using Wasserstein Distance
JMLR 2022
Sequential prediction under log-loss and misspecification
COLT 2021
Stochastic block model entropy and broadcasting on trees with survey
COLT 2021
Extrapolating the profile of a finite population
COLT 2020
Estimating Information Flow in Deep Neural Networks
ICML 2019
Sample complexity of population recovery
COLT 2017