Dimitris Bertsimas
12 papers · 2012–2024 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🌍 Conference Polyglot (3) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12)
🌍
Conference Polyglot
(3)
🏃
Academic Marathon
(12)
🌱
Topic Pioneer
🏆
Keyword Champion
💎
Century Club
(12)
🗃️
Keyword Collector
(65)
📈
Trend Setter
Conferences
JMLR (9)
NIPS (2)
MLHC (1)
Top co-authors
Research topics
Keywords
robust optimization
(3)
support vector machine
(2)
semidefinite optimization
(2)
discrete optimization
(2)
dimensionality reduction
(2)
sparse principal component analysis
(2)
low-rank matrix
(2)
nonconvex optimization
(1)
algorithmic fairness
(1)
factor analysis
(1)
decision making
(1)
uncertainty quantification
(1)
face recognition
(1)
continuous optimization
(1)
logistic regression
(1)
convex optimization
(1)
cross validation
(1)
predictive modeling
(1)
semidefinite programming
(1)
low-rank approximation
(1)
Papers
Interpretable algorithmic fairness in structured and unstructured data
JMLR 2024
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach
JMLR 2023
Sparse PCA: a Geometric Approach
JMLR 2023
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality
JMLR 2022
Stable Classification
JMLR 2022
Optimizing Influenza Vaccine Composition: From Predictions to Prescriptions
MLHC 2020
Stable Regression: On the Power of Optimization over Randomization
JMLR 2020
Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion
JMLR 2020
From Predictive Methods to Missing Data Imputation: An Optimization Approach
JMLR 2018
Optimization over Continuous and Multi-dimensional Decisions with Observational Data
NIPS 2018
Certifiably Optimal Low Rank Factor Analysis
JMLR 2017
An Integer Optimization Approach to Associative Classification
NIPS 2012