Topic 1: Foundational Computational Theories in Machine Learning
Theoretical basis and boundary derivation of unsupervised/weakly supervised learningTheoretical Foundations and Boundary Derivation of Unsupervised/Weakly Supervised Learning
Bayesian Learning, Variational Inference, and Optimization of Monte Carlo Methods
Statistical Inference for High-Dimensional Data, Sparse Estimation, and Dimensionality Reduction Theory
Graphical Models, Probabilistic Inference, and Computational Theory of Latent Variable Models
Extensions of the PAC Learning Framework and Refinement of Generalization Bounds
Optimization and Applications of VC Dimension and Rademacher Complexity Theory
Quantitative Analysis of Sample Complexity, Time Complexity, and Space Complexity
Theoretical Breakthroughs in Online Learning, Distributed Learning, and Adaptive Learning
Statistical Theoretical Foundations for Few-Shot, Zero-Shot, and Meta-Learning
Convergence Analysis of Convex Optimization, Non-Convex Optimization, and Ill-Posed Problems
Stochastic Optimization, Distributed Optimization, and Asynchronous Optimization Algorithms
Innovations in Sparse Optimization, Low-Rank Learning, and Regularization Theory
Gradient-Based Algorithms, First-Order/Second-Order Optimization, and Constrained Optimization
Game Theory and Equilibrium Computation in Multi-Agent Learning
Stochastic Games, Bandit Algorithms, and Sequential Decision Theory
Decision Boundaries, Value Function Approximation, and Dynamic Programming in Reinforcement Learning
Theoretical Mechanisms of Adversarial Learning and Robust Decision Optimization
Theoretical mechanism of adversarial learning and robust decision optimization
Topic 2: Trusted Systems
Technologies to enhance system reliability and robustness
Privacy protection methods and trust management
Risk assessment and mitigation strategies
Compliance and regulatory issues
Framework for Ensuring System Credibility
The Moral and Social Impact of Technology
Policy and regulatory considerations
Topic Three: Mathematics
Linear algebra
Matrix theory
Vector analysis
Complex analysis
Ordinary differential equation
Numerical Analysis
Probability theory
Mathematical statistics
Operations research
Game theory
Control Theory
Combinatorial mathematics
Data analysis
Statistics
Geometry
Parameter calculation
Mathematical modeling
Nonlinear Analysis
Algebraic Topology
Catastrophe theory
Functional analysis
Differential geometry
Set theory
Mathematical logic
Algebraic number theory
Analytic Number Theory
Function Theory
Discrete Mathematics
Symmetry and integrability systems
Complex function
Real Analysis
Special functions and orthogonal polynomials
The Application of Computer Mathematics
Mathematical Theory of Artificial Intelligence
Applied mathematics, etc