Manuel Gomez Rodriguez
21 papers · 2013–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (52) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Keyword Trendsetter Combo
(4)
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Keyword Champion
(2)
π§
Keyword Pioneer
π
Trend Setter
π
Conference Pioneer
ποΈ
Keyword Collector
(119)
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(6)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(19)
Artificial Intelligence
(14)
Core AI
(13)
Core Methods
(13)
Mathematics & Optimization
(9)
Learning Types
(7)
Optimization
(7)
Optimization & Theory
(7)
Application Areas
(6)
Data Science & Analytics
(4)
Applications
(3)
Methods
(3)
Computer Science
(2)
Deep Learning
(2)
Bayesian & Probabilistic
(2)
Keywords
social network
(4)
prediction set
(4)
greedy algorithm
(3)
conformal prediction
(3)
decision support system
(2)
online learning
(2)
convex optimization
(2)
structural causal model
(2)
calibrated classifier
(2)
temporal point process
(2)
diffusion network
(2)
screening classifier
(2)
social network analysis
(2)
human expert
(2)
expert prediction
(2)
graph representation
(1)
graph generation
(1)
policy optimization
(1)
bipartite matching
(1)
sequential decision making
(1)
Papers
Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets
NeurIPS 2024
Designing Decision Support Systems using Counterfactual Prediction Sets
ICML 2024
Prediction-Powered Ranking of Large Language Models
NeurIPS 2024
Towards Human-AI Complementarity with Prediction Sets
NeurIPS 2024
Improving Expert Predictions with Conformal Prediction
ICML 2023
On the Within-Group Fairness of Screening Classifiers
ICML 2023
Counterfactual inference of second Opinions
UAI 2022
Improving Screening Processes via Calibrated Subset Selection
ICML 2022
Classification Under Human Assistance
AAAI 2021
Decisions, Counterfactual Explanations and Strategic Behavior
NeurIPS 2020
Fair Decisions Despite Imperfect Predictions
AISTATS 2020
On the design of consequential ranking algorithms
UAI 2020
NeVAE: A Deep Generative Model for Molecular Graphs
AAAI 2019
Teaching Multiple Concepts to a Forgetful Learner
NeurIPS 2019
Deep Reinforcement Learning of Marked Temporal Point Processes
NeurIPS 2018
Enhancing the Accuracy and Fairness of Human Decision Making
NeurIPS 2018
Learning and Forecasting Opinion Dynamics in Social Networks
NeurIPS 2016
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
AISTATS 2015
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
NeurIPS 2015
Shaping Social Activity by Incentivizing Users
NeurIPS 2014
Scalable Influence Estimation in Continuous-Time Diffusion Networks
NeurIPS 2013