5 papers
DPRM: A Plug-in Doob h transform-induced Token-Ordering Module for Discrete Diffusion Models
Dake Bu, Wei Huang, Andi Han +5
Discrete diffusion models admit many token orders, yet most systems rely on confidence-based decoding. Confidence is a strong and efficient heuristic, but it can be myopic because…
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
Ji Cheng, Bo Xue, Qingfu Zhang
Parametric multi-objective optimization (PMO) addresses the challenge of solving an infinite family of multi-objective optimization problems, where optimal solutions must adapt to…
Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits
Bo Xue, Yuanyu Wan, Zhichao Lu +1
In multi-objective decision-making with hierarchical preferences, lexicographic bandits provide a natural framework for optimizing multiple objectives in a prioritized order. In th…
Evolve Cost-aware Acquisition Functions Using Large Language Models
Yiming Yao, Fei Liu, Ji Cheng +1
Many real-world optimization scenarios involve expensive evaluation with unknown and heterogeneous costs. Cost-aware Bayesian optimization stands out as a prominent solution in add…
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
Dake Bu, Wei Huang, Taiji Suzuki +4
Neural Network-based active learning (NAL) is a cost-effective data selection technique that utilizes neural networks to select and train on a small subset of samples. While existi…