Moses Charikar
21 papers · 2014–2026 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Academic Marathon (11) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (4) π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(37)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(82)
π
Century Club
(20)
π
Trend Setter
β
The Questioner
π₯
Unstoppable
(12)
Conferences
COLT (7)
NIPS (6)
ICML (4)
AISTATS (3)
ALT (1)
Top co-authors
Keywords
approximation algorithm
(4)
profile maximum likelihood
(4)
distribution estimation
(3)
non-convex optimization
(2)
local minimum
(2)
high dimensional datum
(2)
symmetric property
(2)
sample complexity
(2)
symmetric property estimation
(2)
hierarchical clustering
(2)
parameter estimation
(1)
importance sampling
(1)
nearest neighbor search
(1)
locality sensitive hashing
(1)
tensor decomposition
(1)
k-means clustering
(1)
mechanism design
(1)
matrix approximation
(1)
density estimation
(1)
statistical estimation
(1)
Papers
Pareto-optimal Non-uniform Language Generation
ALT 2026
Correlation Clustering Beyond the Pivot Algorithm
ICML 2025
Exploring Facets of Language Generation in the Limit
COLT 2025
Quantifying the Gain in Weak-to-Strong Generalization
NIPS 2024
Fast Algorithms for a New Relaxation of Optimal Transport
COLT 2023
Simple, Scalable and Effective Clustering via One-Dimensional Projections
NIPS 2023
On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood
NIPS 2022
The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications for Profile Maximum Likelihood
COLT 2021
Approximation Algorithms for Orthogonal Non-negative Matrix Factorization
AISTATS 2021
Instance Based Approximations to Profile Maximum Likelihood
NIPS 2020
Recovery Guarantees For Quadratic Tensors With Sparse Observations
AISTATS 2019
Hierarchical Clustering for Euclidean Data
AISTATS 2019
Rehashing Kernel Evaluation in High Dimensions
ICML 2019
A General Framework for Symmetric Property Estimation
NIPS 2019
Hierarchical Clustering with Structural Constraints
ICML 2018
Local Density Estimation in High Dimensions
ICML 2018
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
COLT 2017
Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction
NIPS 2016
Label optimal regret bounds for online local learning
COLT 2015
Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability
COLT 2014
Open Problem: Tensor Decompositions: Algorithms up to the Uniqueness Threshold?
COLT 2014