conftrace_

discrete optimization

145 papers

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Co-occurring keywords

combinatorial optimization (1039) submodular optimization (261) continuous optimization (135) integer programming (92) markov random field (303) neural network (6616) graphical model (864) binary code (83) gradient-based optimization (192) quadratic programming (83)

Papers

Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning NIPS 2024
Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023
Advancing Bayesian Optimization via Learning Correlated Latent Space NIPS 2023
Automatically Auditing Large Language Models via Discrete Optimization ICML 2023
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models ICML 2023
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery NIPS 2023
Recent Developments in Data-Driven Algorithms for Discrete Optimization AAAI 2023
Discrete Two Player All-Pay Auction with Complete Information IJCAI 2023
Parameterized Algorithms for Colored Clustering AAAI 2023
Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case NIPS 2023
Automating Rigid Origami Design IJCAI 2023
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach JMLR 2023
Revisiting Sampling for Combinatorial Optimization ICML 2023
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators ICML 2022
Joint Continuous and Discrete Model Selection via Submodularity JMLR 2022
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming ICML 2022
FastDOG: Fast Discrete Optimization on GPU CVPR 2022
Adiabatic Quantum Computing for Multi Object Tracking CVPR 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization NIPS 2022
Minimax Optimization: The Case of Convex-Submodular AISTATS 2022
Integer and Constraint Programming Revisited for Mutually Orthogonal Latin Squares (Student Abstract) AAAI 2022
Leveraging Inter-Layer Dependency for Post -Training Quantization NIPS 2022
DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems AAAI 2022
Partial Wasserstein Covering AAAI 2022
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions NIPS 2022