Benjie Wang
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  • Invited & Contributed Talks
    • Symbolic Reasoning in the Age of Large Language Models
    • Probabilistic Reasoning in Large-Scale Models
    • Restructuring Tractable Probabilistic Circuits
    • Scaling Up Marginalization in Probabilistic Modeling
    • Tractable Deep Generative Models
    • Restructuring Tractable Probabilistic Circuits
    • Marginal Determinism in Structured Decomposable Circuits
    • Compositional Probabilistic and Causal Inference
    • Tractable Uncertainty for Structure Learning
    • Tractable Uncertainty for Structure Learning
  • Publications
    • PREMAP: A Unifying Preimage Approximation Framework for Neural Networks
    • Scaling Probabilistic Circuits via Monarch Matrices
    • TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation
    • Restructuring Tractable Probabilistic Circuits
    • On the Relationship Between Monotone and Squared Probabilistic Circuits
    • A Compositional Atlas for Algebraic Circuits
    • Where is the signal in tokenization space?
    • Neural Structure Learning with Stochastic Differential Equations
    • Provable Preimage Under-Approximation for Neural Networks
    • Compositional Probabilistic and Causal Inference using Tractable Circuit Models
    • Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits
    • Tractable Uncertainty for Structure Learning
    • Provable Guarantees on the Robustness of Decision Rules to Causal Interventions
    • Statistically Robust Neural Network Classification
    • Assessing Robustness of Text Classification through Maximal Safe Radius Computation

Tractable Uncertainty for Structure Learning

July 20, 2022 · 0 min read
Date
July 20, 2022 12:00 AM
Event
International Conference on Machine Learning (ICML)
events
Last updated on July 20, 2022
Benjie Wang
Authors
Benjie Wang
Postdoctoral Researcher
← Tractable Uncertainty for Structure Learning February 16, 2023

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