#Machine Learning Theory
Latest news articles tagged with "Machine Learning Theory". Follow the timeline of events, related topics, and entities.
Articles (8)
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🇺🇸 Information as Structural Alignment: A Dynamical Theory of Continual Learning
[USA]
arXiv:2604.07108v1 Announce Type: cross Abstract: Catastrophic forgetting is not an engineering failure. It is a mathematical consequence of storing knowledge as global parameter superposition. Exist...
Related: #Artificial Intelligence, #Cognitive Science -
🇺🇸 Sparse-Aware Neural Networks for Nonlinear Functionals: Mitigating the Exponential Dependence on Dimension
[USA]
arXiv:2604.06774v1 Announce Type: cross Abstract: Deep neural networks have emerged as powerful tools for learning operators defined over infinite-dimensional function spaces. However, existing theor...
Related: #Scientific Computing, #Algorithmic Efficiency -
🇺🇸 Causal Identification from Counterfactual Data: Completeness and Bounding Results
[USA]
arXiv:2602.23541v1 Announce Type: new Abstract: Previous work establishing completeness results for $\textit{counterfactual identification}$ has been circumscribed to the setting where the input data...
Related: #Causal Inference, #Counterfactual Reasoning -
🇺🇸 From Shallow Bayesian Neural Networks to Gaussian Processes: General Convergence, Identifiability and Scalable Inference
[USA]
arXiv:2602.22492v1 Announce Type: cross Abstract: In this work, we study scaling limits of shallow Bayesian neural networks (BNNs) via their connection to Gaussian processes (GPs), with an emphasis o...
Related: #Statistical Modeling, #Computational Efficiency, #Neural Networks -
🇺🇸 A Model-Free Universal AI
[USA]
arXiv:2602.23242v1 Announce Type: new Abstract: In general reinforcement learning, all established optimal agents, including AIXI, are model-based, explicitly maintaining and using environment models...
Related: #Artificial Intelligence, #Reinforcement Learning -
🇺🇸 Does Order Matter : Connecting The Law of Robustness to Robust Generalization
[USA]
arXiv:2602.20971v1 Announce Type: cross Abstract: Bubeck and Sellke (2021) pose as an open problem the connection between the law of robustness and robust generalization. The law of robustness states...
Related: #Robust AI, #Mathematical Foundations -
🇺🇸 DiffusionBlocks: Block-wise Neural Network Training via Diffusion Interpretation
[USA]
arXiv:2506.14202v3 Announce Type: replace-cross Abstract: End-to-end backpropagation requires storing activations throughout all layers, creating memory bottlenecks that limit model scalability. Exis...
Related: #Neural Network Training, #Transformer Scalability, #Memory Optimization, #Backpropagation -
🇺🇸 The Median is Easier than it Looks: Approximation with a Constant-Depth, Linear-Width ReLU Network
[USA]
arXiv:2602.07219v1 Announce Type: cross Abstract: We study the approximation of the median of $d$ inputs using ReLU neural networks. We present depth-width tradeoffs under several settings, culminati...
Related: #Neural Networks, #Computational Complexity
Key Entities (4)
- Machine learning (2 news)
- AIXI (1 news)
- Reinforcement learning (1 news)
- Gaussian process (1 news)
About the topic: Machine Learning Theory
The topic "Machine Learning Theory" aggregates 8+ news articles from various countries.