conftrace_

continuous relaxation

23 papers

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Co-occurring keywords

discrete optimization (145) combinatorial optimization (1039) submodular optimization (261) generative model (2892) greedy algorithm (242) graph cut (89) submodular function (121) balanced cut (4) map inference (130) continuous optimization (135)

Papers

Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem AAAI 2026
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation AAAI 2025
Densest k-Subgraph Mining via a Provably Tight Relaxation AAAI 2025
Controlling Continuous Relaxation for Combinatorial Optimization NIPS 2024
End-to-end Differentiable Clustering with Associative Memories ICML 2023
Learning with Algorithmic Supervision via Continuous Relaxations NIPS 2021
Modeling Hierarchical Structures with Continuous Recursive Neural Networks ICML 2021
Differentially Private Query Release Through Adaptive Projection ICML 2021
SoftSort: A Continuous Relaxation for the argsort Operator ICML 2020
Reparameterizable Subset Sampling via Continuous Relaxations IJCAI 2019
Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings ICML 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations ICML 2018
Continuous Relaxation of MAP Inference: A Nonconvex Perspective CVPR 2018
Stochastic Submodular Maximization: The Case of Coverage Functions NIPS 2017
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models NIPS 2017
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models JMLR 2017
Concrete Dropout NIPS 2017
A Box-Constrained Approach for Hard Permutation Problems ICML 2016
T-Linkage: A Continuous Relaxation of J-Linkage for Multi-Model Fitting CVPR 2014
Tight Continuous Relaxation of the Balanced k-Cut Problem NIPS 2014
Continuous Relaxations for Discrete Hamiltonian Monte Carlo NIPS 2012
Convergence and Energy Landscape for Cheeger Cut Clustering NIPS 2012
Near-Optimal MAP Inference for Determinantal Point Processes NIPS 2012