Saurabh Amin
9 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (22) π Grand Slam
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Keyword Champion
(2)
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Conference Pioneer
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(52)
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Research topics
Machine Learning
(9)
Optimization & Theory
(7)
Mathematics & Optimization
(5)
Optimization
(4)
Artificial Intelligence
(3)
Core AI
(3)
Core Methods
(2)
Learning Types
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Mathematics
(1)
Methods
(1)
Models
(1)
Keywords
error-correcting output code
(2)
contextual optimization
(2)
stochastic optimization
(2)
multi-class classification
(2)
bayesian inference
(1)
statistical modeling
(1)
adversarial robustness
(1)
sequential decision making
(1)
bayesian learning
(1)
pac learning
(1)
gaussian process
(1)
discrete optimization
(1)
uncertainty quantification
(1)
mixed integer programming
(1)
linear programming
(1)
graph coloring
(1)
resource allocation
(1)
integer programming
(1)
surrogate loss
(1)
model misspecification
(1)
Papers
Learning Decision-Sufficient Representations for Linear Optimization
COLT 2026
OptiHive: Ensemble Selection for LLM-Based Optimization via Statistical Modeling
AAAI 2026
A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
ICLR 2025
Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach
ICML 2025
Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference
L4DC 2024
Effective Dimension in Bandit Problems under Censorship
NeurIPS 2022
Scalable design of Error-Correcting Output Codes using Discrete Optimization with Graph Coloring
NeurIPS 2022
Integer programming-based error-correcting output code design for robust classification
UAI 2021
Bayesian Learning with Adaptive Load Allocation Strategies
L4DC 2020