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Gradient Estimation for Exactly-k Constraints

NeurIPS 2023 Workshop on AI for Scientific Discovery

Collapsed Inference for Bayesian Deep Learning

ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling     Oral Presentation (Top 5%)

A Unified Approach to Count-Based Weakly-Supervised Learning

ICML 2023 Workshop on Differentiable Almost Everything

Probabilistic Task-Adaptive Graph Rewiring

ICML 2023 Workshop on Differentiable Almost Everything

SIMPLE: A Gradient Estimator for k-Subset Sampling

ICML 2023 Workshop on Differentiable Almost Everything

SIMPLE: A Gradient Estimator for k-Subset Sampling

SoCal NLP Symposium 2022

Is Parameter Learning via Weighted Model Integration Tractable?

TPM Workshop at UAI 2021

Relax, Compensate and then Integrate

DeCoDeML Workshop at ECML-PKDD 2020

Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message Passing

KR2ML Workshop at NeurIPS 2019

Efficient Search-Based Weighted Model Integration

IJCAI 2019 Workshop on Declarative Learning Based Programming