Igor Colin
11 papers · 2015–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (22)
🗃️
Keyword Collector
(62)
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(10)
Mathematics & Optimization
(8)
Optimization
(8)
Learning Types
(3)
Artificial Intelligence
(2)
Computer Science
(2)
Core AI
(2)
Core Methods
(2)
Reinforcement Learning
(1)
Security & Privacy
(1)
Applications
(1)
Differential Privacy
(1)
Learning Paradigms
(1)
Mathematics
(1)
Keywords
non-convex optimization
(2)
best arm identification
(2)
multi-armed bandit
(2)
graph structure
(2)
gossip algorithm
(2)
regret minimization
(1)
metric learning
(1)
differential privacy
(1)
decentralized optimization
(1)
sample complexity
(1)
stochastic gradient descent
(1)
empirical risk minimization
(1)
hyperparameter optimization
(1)
gradient descent
(1)
high-dimensional analysis
(1)
linear programming
(1)
dual averaging
(1)
subset selection
(1)
parameter estimation
(1)
stochastic optimization
(1)
Papers
Adaptive Sample Sharing for Multi Agent Linear Bandits
ICML 2025
Measures of diversity and space-filling designs for categorical data
ICML 2024
Multi-Agent Best Arm Identification with Private Communications
ICML 2023
An α-No-Regret Algorithm For Graphical Bilinear Bandits
NeurIPS 2022
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm
ICML 2022
Best Arm Identification in Graphical Bilinear Bandits
ICML 2021
A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration
NeurIPS 2020
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning
NeurIPS 2019
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions
ICML 2016
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics
JMLR 2016
Extending Gossip Algorithms to Distributed Estimation of U-statistics
NeurIPS 2015