Kevin Bello
15 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Bronze π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
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Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
(76)
Venues
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Research topics
Machine Learning
(13)
Optimization & Theory
(9)
Artificial Intelligence
(8)
Core AI
(8)
Core Methods
(6)
Learning Types
(6)
Knowledge & Reasoning
(5)
Mathematics & Optimization
(5)
Optimization
(5)
Reasoning
(5)
Bayesian & Probabilistic Β· Machine Learning
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Mathematics
(2)
Computer Science
(1)
Computer Vision
(1)
Keywords
graphical model
(5)
directed acyclic graph
(5)
causal discovery
(4)
structure learning
(4)
structured prediction
(4)
non-convex optimization
(3)
causal inference
(3)
causal structure learning
(2)
sample complexity
(2)
causal mechanism shift
(2)
structural causal model
(2)
exact inference
(2)
exact recovery
(2)
inverse reinforcement learning
(1)
continuous optimization
(1)
graph theory
(1)
global convergence
(1)
reward function
(1)
margin-based learning
(1)
precision matrix
(1)
Papers
Towards Fair Graph Learning without Demographic Information
AISTATS 2025
Identifying Causal Changes Between Linear Structural Equation Models
UAI 2024
Identifying General Mechanism Shifts in Linear Causal Representations
NeurIPS 2024
Markov Equivalence and Consistency in Differentiable Structure Learning
NeurIPS 2024
Global Optimality in Bivariate Gradient-based DAG Learning
NeurIPS 2023
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
NeurIPS 2023
Optimizing NOTEARS Objectives via Topological Swaps
ICML 2023
A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy
AISTATS 2022
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
NeurIPS 2022
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees
NeurIPS 2021
Fairness constraints can help exact inference in structured prediction
NeurIPS 2020
Minimax Bounds for Structured Prediction Based on Factor Graphs
AISTATS 2020
Exact inference in structured prediction
NeurIPS 2019
Computationally and statistically efficient learning of causal Bayes nets using path queries
NeurIPS 2018
Learning latent variable structured prediction models with Gaussian perturbations
NeurIPS 2018