Zhi-Hua Zhou

50

Papers

349

Total Citations

Papers (50)

Improved Dynamic Regret for Non-degenerate Functions

NeurIPS 2017arXiv

Learning with Feature Evolvable Streams

NeurIPS 2017arXiv

Subset Selection under Noise

What Makes Objects Similar: A Unified Multi-Metric Learning Approach

Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection

Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification

Enabling Optimal Decisions in Rehearsal Learning under CARE Condition

Learning with Adaptive Resource Allocation

Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts

Subset Selection by Pareto Optimization

An Efficient Maximal Ancestral Graph Listing Algorithm

Safe Abductive Learning in the Presence of Inaccurate Rules

Towards Making Learnware Specification and Market Evolvable

Learning Only When It Matters: Cost

Online Non-stochastic Control with Partial Feedback

Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation

Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations

Depth is More Powerful than Width with Prediction Concatenation in Deep Forest

Adapting to Online Label Shift with Provable Guarantees

Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks

Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning

Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent

Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach

On the Gini-impurity Preservation For Privacy Random Forests

Stochastic Approximation Approaches to Group Distributionally Robust Optimization

Dynamic Regret of Adversarial Linear Mixture MDPs

Rehearsal Learning for Avoiding Undesired Future

CUR Algorithm for Partially Observed Matrices

A Unified View of Multi-Label Performance Measures

Multi-Class Optimal Margin Distribution Machine

Dynamic Regret of Strongly Adaptive Methods

Rectify Heterogeneous Models with Semantic Mapping

Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin

Adaptive Regret of Convex and Smooth Functions

Adaptive Online Learning in Dynamic Environments

Unorganized Malicious Attacks Detection

Multi-Layered Gradient Boosting Decision Trees

$\ell_1$-regression with Heavy-tailed Distributions

Preference Based Adaptation for Learning Objectives

Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder

Bridging Machine Learning and Logical Reasoning by Abductive Learning

A Refined Margin Distribution Analysis for Forest Representation Learning

Towards Convergence Rate Analysis of Random Forests for Classification

An Unbiased Risk Estimator for Learning with Augmented Classes

Dynamic Regret of Convex and Smooth Functions

Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable

Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions

Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge

Efficient Methods for Non-stationary Online Learning

Theoretically Provable Spiking Neural Networks