Peng Zhao

Efficient Few-Step Solution Generation via Discrete Flow Matching for Combinatorial Optimization AAAI 2026 TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree ICML 2025 Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update ICML 2025 DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning IJCAI 2025 Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability ICML 2025 Efficient Methods for Non-stationary Online Learning JMLR 2025 M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation ACL 2025 CEAN: Contrastive Event Aggregation Network with LLM-based Augmentation for Event Extraction EACL 2024 Language Without Borders: A Dataset and Benchmark for Code-Switching Lip Reading NIPS 2024 Handling Heterogeneous Curvatures in Bandit LQR Control ICML 2024 Universal Online Convex Optimization with $1$ Projection per Round NIPS 2024 Gradient-Variation Online Learning under Generalized Smoothness NIPS 2024 Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NIPS 2024 Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NIPS 2024 Learning with Adaptive Resource Allocation ICML 2024 Structured Optimal Variational Inference for Dynamic Latent Space Models JMLR 2024 Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization JMLR 2024 Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization JMLR 2024 Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation ICML 2024 Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation AAAI 2024 Generative Model-Based Feature Knowledge Distillation for Action Recognition AAAI 2024 Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024 A Simple and Optimal Approach for Universal Online Learning with Gradient Variations NIPS 2024 Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning IJCAI 2024 Stochastic Approximation Approaches to Group Distributionally Robust Optimization NIPS 2023 Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization ICML 2023 Fast Rates in Time-Varying Strongly Monotone Games ICML 2023 Online Non-stochastic Control with Partial Feedback JMLR 2023 Non-stationary Online Learning with Memory and Non-stochastic Control JMLR 2023 Adapting to Continuous Covariate Shift via Online Density Ratio Estimation NIPS 2023 Revisiting Weighted Strategy for Non-stationary Parametric Bandits AISTATS 2023 Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions AISTATS 2023 Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach NIPS 2023 Weakly-Supervised Action Localization by Hierarchically-Structured Latent Attention Modeling ICCV 2023 Dynamic Regret of Adversarial Linear Mixture MDPs NIPS 2023 Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits COLT 2022 Efficient Methods for Non-stationary Online Learning NIPS 2022 Adapting to Online Label Shift with Provable Guarantees NIPS 2022 Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits AISTATS 2022 Non-stationary Online Learning with Memory and Non-stochastic Control AISTATS 2022 Adaptive Bandit Convex Optimization with Heterogeneous Curvature COLT 2022 No-Regret Learning in Time-Varying Zero-Sum Games ICML 2022 Dynamic Regret of Online Markov Decision Processes ICML 2022 Contrastive Multi-view Hyperbolic Hierarchical Clustering IJCAI 2022 Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling AAAI 2021 Bandit Convex Optimization in Non-stationary Environments JMLR 2021 Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions L4DC 2021 Exploratory Machine Learning with Unknown Unknowns AAAI 2021 Towards Enabling Learnware to Handle Unseen Jobs AAAI 2021 Storage Fit Learning with Feature Evolvable Streams AAAI 2021 Learning with Feature and Distribution Evolvable Streams ICML 2020 CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning IJCAI 2020 Dynamic Regret of Convex and Smooth Functions NIPS 2020 An Unbiased Risk Estimator for Learning with Augmented Classes NIPS 2020 Bandit Convex Optimization in Non-stationary Environments AISTATS 2020 A Simple Approach for Non-stationary Linear Bandits AISTATS 2020 Optimal Margin Distribution Learning in Dynamic Environments AAAI 2020 A Simple Online Algorithm for Competing with Dynamic Comparators UAI 2020 Robust Softmax Regression for Multi-class Classification with Self-Paced Learning IJCAI 2017 Stagewise Lasso JMLR 2007 On Model Selection Consistency of Lasso JMLR 2006