Shuang Li

Sampling Complexity of TD and PPO in RKHS

Inferring the Invisible: Neuro-Symbolic Rule Discovery for Missing Value Imputation

Learning Human Habits with Rule-Guided Active Inference

Wasserstein Policy Gradient: Implicit Policies, Entropy Regularization and Linear Convergence

Neuro-Symbolic VAEs for Temporal Point Processes: Logic-Guided Controllable Generation

Consensus Energy Minimization: Ensuring Reliable Convergence in Collaborative Deliberation

Unanchoring the Mind: AI-Guided Counterfactual Reasoning for Rare Disease Diagnosis

Deep Assortment Optimization

DeepHalo: A Neural Choice Model with Controllable Context Effects

Evolving Minds: Logic-Informed Inference from Temporal Action Patterns

Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization

Logic-Logit: A Logic-Based Approach to Choice Modeling

Inference of Evolving Mental States from Irregular Action Events to Understand Human Behaviors

Who Should Join the Decision-Making Table? Targeted Expert Selection for Enhanced Human-AI Collaboration

Preference-Driven Spatial-Temporal Counting Process Models

Variational Neuro-Symbolic Generative Temporal Point Process

Inferring the Invisible: Recurrent Neuro-Symbolic Forward Chaining Network

Treatment Rule Optimization Under Counterfactual Temporal Point Processes with Latent States