Gaussian Processes papers, 2023–2026
GP regression and classification
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 1,049 papers are tagged with this topic.
Key findings
- Gaussian Processes went from 154 papers in 2023 to 341 in 2026, roughly 2.2x in three years.
- NeurIPS publishes the most Gaussian Processes work: 372 papers from 2023 to 2026, 35% of the four-venue total.
- The fastest-growing overlap is with 3D Vision: papers tagged with both rose from 0 in 2023 to 158 in 2026.
- Among the 5 topics under Probabilistic and Bayesian, it ranks #1 by 2026 paper count; the fastest grower in the group, Generative Flows, is up 1.9x versus 2.2x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 69 | 27 | 48 | 10 | 154 |
| 2024 | 91 | 36 | 64 | 40 | 231 |
| 2025 | 106 | 41 | 53 | 123 | 323 |
| 2026 | 106 | 40 | 79 | 116 | 341 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026Adaptive Prior Selection in Gaussian Process Bandits with Thompson Sampling
- ICML 2026A unified theory of feature learning in RNNs and DNNs
- ICLR 2026Adaptive Gaussian Expansion for On-the-fly Category Discovery
- CVPR 2026Distilling Unsigned Distance Function for Surface Reconstruction from 3D Gaussian
- NeurIPS 2025Accelerated Evolving Set Processes for Local PageRank Computation
- ICML 2025BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
- ICLR 2025Boosting Methods for Interval-censored Data with Regression and Classification
- CVPR 20253D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations
- NeurIPS 2024Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees
- ICML 2024A Rate-Distortion View of Uncertainty Quantification
- ICLR 2024A General Framework for User-Guided Bayesian Optimization
- CVPR 2024Deep Imbalanced Regression via Hierarchical Classification Adjustment
- NeurIPS 2023A Bayesian Take on Gaussian Process Networks
- ICML 2023Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
- ICLR 2023Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference
- CVPR 2023Robust and Scalable Gaussian Process Regression and Its Applications
- NeurIPS 2026Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models
- ICML 2026ALAS: Additive Learnable Alpha-Stable Kernels for Flexible Bayesian Optimization
- ICLR 2026Continuous multinomial logistic regression for neural decoding
- CVPR 2026ELITE Efficient Gaussian Head Avatar from a Monocular Video via
All Gaussian Processes papers
36 papers, page 1 of 1
- ICLR 2024A General Framework for User-Guided Bayesian Optimization
- ICLR 2024A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
- ICLR 2024A Unified Framework for Bayesian Optimization under Contextual Uncertainty
- ICLR 2024Amortized Network Intervention to Steer the Excitatory Point Processes
- ICLR 2024Augmented Bayesian Policy Search
- ICLR 2024Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data
- ICLR 2024Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes
- ICLR 2024Conformal Prediction via Regression-as-Classification
- ICLR 2024Convolutional Deep Kernel Machines
- ICLR 2024DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS
- ICLR 2024EasyTPP: Towards Open Benchmarking Temporal Point Processes
- ICLR 2024Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
- ICLR 2024Function-space Parameterization of Neural Networks for Sequential Learning
- ICLR 2024Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data
- ICLR 2024GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors
- ICLR 2024Graphical Multioutput Gaussian Process with Attention
- ICLR 2024Grokking as a First Order Phase Transition in Two Layer Networks
- ICLR 2024High-dimensional SGD aligns with emerging outlier eigenspaces
- ICLR 2024HoloNets: Spectral Convolutions do extend to Directed Graphs
- ICLR 2024Horizon-Free Regret for Linear Markov Decision Processes
- ICLR 2024Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
- ICLR 2024Kalman Filter for Online Classification of Non-Stationary Data
- ICLR 2024Leave-one-out Distinguishability in Machine Learning
- ICLR 2024Light Schrödinger Bridge
- ICLR 2024Making Pre-trained Language Models Great on Tabular Prediction
- ICLR 2024Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
- ICLR 2024Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
- ICLR 2024On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation
- ICLR 2024Optimal Sample Complexity for Average Reward Markov Decision Processes
- ICLR 2024Prediction Error-based Classification for Class-Incremental Learning
- ICLR 2024Robust Classification via Regression for Learning with Noisy Labels
- ICLR 2024Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
- ICLR 2024Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
- ICLR 2024Stochastic Gradient Descent for Gaussian Processes Done Right
- ICLR 2024Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
- ICLR 2024Uncertainty Quantification via Stable Distribution Propagation
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FAQ
- How many Gaussian Processes papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 1,049 in total: 154 in 2023, 231 in 2024, 323 in 2025, 341 in 2026.
- How many Gaussian Processes papers are at NeurIPS 2026?
- NeurIPS 2026 has 106 Gaussian Processes papers, versus 106 the year before.
- How many Gaussian Processes papers are at ICLR 2026?
- ICLR 2026 has 40 Gaussian Processes papers, versus 41 the year before.
- How many Gaussian Processes papers are at ICML 2026?
- ICML 2026 has 79 Gaussian Processes papers, versus 53 the year before.
- How many Gaussian Processes papers are at CVPR 2026?
- CVPR 2026 has 116 Gaussian Processes papers, versus 123 the year before.
- Which conference publishes the most Gaussian Processes papers?
- NeurIPS, with 372 papers from 2023 to 2026.