discrete optimization

DOGE-Train: Discrete Optimization on GPU with End-to-End Training AAAI 2024 Faster Differentially Private Top-k Selection: A Joint Exponential Mechanism with Pruning NeurIPS 2024 Improved Generation of Adversarial Examples Against Safety-aligned LLMs NeurIPS 2024 Plum: Prompt Learning using Metaheuristics ACL 2024 Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models CVPR 2024 Robust Losses for Decision-Focused Learning IJCAI 2024 Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization AAAI 2024 Advancing Bayesian Optimization via Learning Correlated Latent Space NeurIPS 2023 Automatically Auditing Large Language Models via Discrete Optimization ICML 2023 Automating Rigid Origami Design IJCAI 2023 Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models ICML 2023 Discrete Two Player All-Pay Auction with Complete Information IJCAI 2023 Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case NeurIPS 2023 Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery NeurIPS 2023 Parameterized Algorithms for Colored Clustering AAAI 2023 Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023 Recent Developments in Data-Driven Algorithms for Discrete Optimization AAAI 2023 Revisiting Sampling for Combinatorial Optimization ICML 2023 Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach JMLR 2023 Adiabatic Quantum Computing for Multi Object Tracking CVPR 2022 A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems AAAI 2022 Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization NeurIPS 2022 Constrained Discrete Black-Box Optimization using Mixed-Integer Programming ICML 2022 DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems AAAI 2022 FastDOG: Fast Discrete Optimization on GPU CVPR 2022