Kevin Bello
15 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (7)
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Interdisciplinary Bridge
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(7)
💎
Century Club
(15)
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Trend Setter
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Keyword Collector
(66)
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Unstoppable
(8)
Conferences
NIPS (10)
AISTATS (3)
ICML (1)
UAI (1)
Top co-authors
Keywords
graphical model
(5)
causal discovery
(4)
structured prediction
(4)
structure learning
(4)
directed acyclic graph
(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)
distribution shift
(1)
margin-based learning
(1)
reward function
(1)
Papers
Towards Fair Graph Learning without Demographic Information
AISTATS 2025
Identifying General Mechanism Shifts in Linear Causal Representations
NIPS 2024
Identifying Causal Changes Between Linear Structural Equation Models
UAI 2024
Markov Equivalence and Consistency in Differentiable Structure Learning
NIPS 2024
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
NIPS 2023
Global Optimality in Bivariate Gradient-based DAG Learning
NIPS 2023
Optimizing NOTEARS Objectives via Topological Swaps
ICML 2023
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
NIPS 2022
A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy
AISTATS 2022
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees
NIPS 2021
Fairness constraints can help exact inference in structured prediction
NIPS 2020
Minimax Bounds for Structured Prediction Based on Factor Graphs
AISTATS 2020
Exact inference in structured prediction
NIPS 2019
Learning latent variable structured prediction models with Gaussian perturbations
NIPS 2018
Computationally and statistically efficient learning of causal Bayes nets using path queries
NIPS 2018