Manuel Gomez Rodriguez
21 papers · 2013–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π Conference Polyglot (5)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
(2)
π
Century Club
(21)
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable
(7)
ποΈ
Keyword Collector
(114)
Conferences
NIPS (11)
ICML (4)
AAAI (2)
AISTATS (2)
UAI (2)
Top co-authors
Keywords
social network
(4)
greedy algorithm
(3)
conformal prediction
(3)
prediction set
(3)
temporal point process
(2)
convex optimization
(2)
screening classifier
(2)
human expert
(2)
calibrated classifier
(2)
expert prediction
(2)
diffusion network
(2)
structural causal model
(2)
decision support system
(2)
graph representation
(1)
graph generation
(1)
policy optimization
(1)
bipartite matching
(1)
sequential decision making
(1)
deep reinforcement learning
(1)
graph theory
(1)
Papers
Towards Human-AI Complementarity with Prediction Sets
NIPS 2024
Designing Decision Support Systems using Counterfactual Prediction Sets
ICML 2024
Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets
NIPS 2024
Prediction-Powered Ranking of Large Language Models
NIPS 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
NIPS 2020
Fair Decisions Despite Imperfect Predictions
AISTATS 2020
On the design of consequential ranking algorithms
UAI 2020
Teaching Multiple Concepts to a Forgetful Learner
NIPS 2019
NeVAE: A Deep Generative Model for Molecular Graphs
AAAI 2019
Deep Reinforcement Learning of Marked Temporal Point Processes
NIPS 2018
Enhancing the Accuracy and Fairness of Human Decision Making
NIPS 2018
Learning and Forecasting Opinion Dynamics in Social Networks
NIPS 2016
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
NIPS 2015
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
AISTATS 2015
Shaping Social Activity by Incentivizing Users
NIPS 2014
Scalable Influence Estimation in Continuous-Time Diffusion Networks
NIPS 2013