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Samuel Kaski

Identifiers

  • name variant Samuel Kaski 0.60 · backfill

Papers (77)

  1. Bridging Chemists and AI: An Expert-Augmented Framework for Interpretable Route Evaluation cs.LG · 2026 · author #9
  2. Constrained Bayesian Experimental Design via Online Planning stat.ML · 2026 · author #5
  3. Decoupled Conformal Optimisation: Efficient Prediction Sets via Independent Tuning and Calibration cs.LG · 2026 · author #3
  4. Elicitation-Augmented Bayesian Optimization cs.LG · 2026 · author #3
  5. Online Sharp-Calibrated Bayesian Optimization cs.LG · 2026 · author #4
  6. In-Context Black-Box Optimization with Unreliable Feedback cs.LG · 2026 · author #3
  7. Multi-Objective Bayesian Optimization via Adaptive \varepsilon-Constraints Decomposition cs.LG · 2026 · author #3
  8. Point-Identification of a Robust Predictor Under Latent Shift with Imperfect Proxies cs.LG · 2026 · author #4
  9. Bayesian Conformal Prediction as a Decision Risk Problem cs.LG · 2026 · author #3
  10. Softly Constrained Denoisers for Diffusion Models Applied to Partial Differential Equations cs.LG · 2025 · author #4
  11. In-Context Multi-Objective Optimization cs.LG · 2025 · author #5
  12. Efficient Autoregressive Inference for Transformer Probabilistic Models stat.ML · 2025 · author #8
  13. Incorporating Expert Knowledge into Bayesian Causal Discovery of Mixtures of Directed Acyclic Graphs cs.LG · 2025 · author #4
  14. Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization cs.LG · 2024 · author #3
  15. Active Learning for Decision-Making from Imbalanced Observational Data stat.ML · 2019 · author #6
  16. Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets cs.LG · 2019 · author #3
  17. Local dimension reduction of summary statistics for likelihood-free inference stat.CO · 2019 · author #2
  18. Neural Non-Stationary Spectral Kernel cs.LG · 2018 · author #3
  19. Deep learning with differential Gaussian process flows cs.LG · 2018 · author #4
  20. Deep convolutional Gaussian processes cs.LG · 2018 · author #2
  21. Bayesian Metabolic Flux Analysis reveals intracellular flux couplings stat.ML · 2018 · author #5
  22. Variational zero-inflated Gaussian processes with sparse kernels stat.ML · 2018 · author #3
  23. User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction cs.HC · 2017 · author #4
  24. ELFI: Engine for Likelihood-Free Inference stat.ML · 2017 · author #10
  25. Learning Image Relations with Contrast Association Networks cs.CV · 2017 · author #4
  26. Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation cs.AI · 2017 · author #8
  27. Inverse Reinforcement Learning from Summary Data cs.LG · 2017 · author #2
  28. Differentially Private Bayesian Learning on Distributed Data stat.ML · 2017 · author #3
  29. Distributed Bayesian Matrix Factorization with Limited Communication stat.ML · 2017 · author #5
  30. A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings stat.ML · 2017 · author #3
  31. Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation stat.ML · 2017 · author #3
  32. Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction cs.AI · 2016 · author #4
  33. Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction cs.LG · 2016 · author #3
  34. Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets cs.AI · 2016 · author #8
  35. Inferring Cognitive Models from Data using Approximate Bayesian Computation cs.HC · 2016 · author #5
  36. GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis cs.MS · 2016 · author #3
  37. Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals cs.IR · 2016 · author #7
  38. Drug response prediction by inferring pathway-response associations with Kernelized Bayesian Matrix Factorization stat.ML · 2016 · author #7
  39. Efficient differentially private learning improves drug sensitivity prediction stat.ML · 2016 · author #5
  40. Regression with n$\to$1 by Expert Knowledge Elicitation cs.LG · 2016 · author #3
  41. Bayesian inference in hierarchical models by combining independent posteriors stat.CO · 2016 · author #3
  42. Localized Lasso for High-Dimensional Regression stat.ML · 2016 · author #5
  43. Interactive Modeling of Concept Drift and Errors in Relevance Feedback cs.HC · 2016 · author #4
  44. Multi-view Kernel Completion cs.LG · 2016 · author #2
  45. Sparse group factor analysis for biclustering of multiple data sources cs.LG · 2015 · author #4
  46. Visualizations Relevant to The User By Multi-View Latent Variable Factorization cs.LG · 2015 · author #3
  47. Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers stat.ML · 2015 · author #3
  48. Learning Structures of Bayesian Networks for Variable Groups stat.ML · 2015 · author #2
  49. Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo stat.ML · 2015 · author #4
  50. Convex Factorization Machine for Regression stat.ML · 2015 · author #7
  51. Modelling-based experiment retrieval: A case study with gene expression clustering stat.ML · 2015 · author #5
  52. Classification and Bayesian Optimization for Likelihood-Free Inference stat.CO · 2015 · author #4
  53. Bayesian multi-tensor factorization stat.ML · 2014 · author #3
  54. Group Factor Analysis stat.ML · 2014 · author #4
  55. Multiple Output Regression with Latent Noise stat.ML · 2014 · author #10
  56. PinView: Implicit Feedback in Content-Based Image Retrieval cs.IR · 2014 · author #7
  57. Likelihood-free inference via classification stat.CO · 2014 · author #3
  58. Toward computational cumulative biology by combining models of biological datasets q-bio.QM · 2014 · author #5
  59. Stronger findings from mass spectral data through multi-peak modeling q-bio.QM · 2014 · author #3
  60. Retrieval of Experiments by Efficient Estimation of Marginal Likelihood stat.ML · 2014 · author #3
  61. Identification of structural features in chemicals associated with cancer drug response: A systematic data-driven analysis stat.ML · 2013 · author #6
  62. Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects stat.ML · 2013 · author #8
  63. Retrieval of Experiments with Sequential Dirichlet Process Mixtures in Model Space stat.ML · 2013 · author #3
  64. Exploration and retrieval of whole-metagenome sequencing samples q-bio.GN · 2013 · author #3
  65. Kernelized Bayesian Matrix Factorization stat.ML · 2012 · author #3
  66. Genome-wide association studies with high-dimensional phenotypes stat.ME · 2012 · author #5
  67. Two-Way Latent Grouping Model for User Preference Prediction cs.IR · 2012 · author #4
  68. Bayesian exponential family projections for coupled data sources cs.LG · 2012 · author #3
  69. Global modeling of transcriptional responses in interaction networks q-bio.MN · 2012 · author #3
  70. Comprehensive data-driven analysis of the impact of chemoinformatic structure on the genome-wide biological response profiles of cancer cells to 1159 drugs q-bio.BM · 2011 · author #9
  71. Bayesian Group Factor Analysis stat.ML · 2011 · author #4
  72. RPA: Probabilistic analysis of probe performance and robust summarization cs.CE · 2011 · author #4
  73. Dependency detection with similarity constraints stat.ML · 2011 · author #4
  74. Translating biomarkers between multi-way time-series experiments stat.ML · 2010 · author #4
  75. Multi-Way, Multi-View Learning stat.ML · 2009 · author #5
  76. Inference with Discriminative Posterior stat.ML · 2008 · author #4
  77. Component models for large networks stat.ML · 2008 · author #3

Mentions

  • 2603.15158 #4 · arxiv_oai · confidence 0.70 Samuel Kaski
  • 1508.07753 #2 · backfill · confidence 0.70 Samuel Kaski
  • 1703.00734 #5 · arxiv_oai · confidence 0.70 Samuel Kaski
  • 1508.04319 #4 · backfill · confidence 0.70 Samuel Kaski
  • 1507.01073 #7 · backfill · confidence 0.70 Samuel Kaski
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  • 1410.0471 #7 · backfill · confidence 0.70 Samuel Kaski
  • 2604.15959 #3 · arxiv_oai · confidence 0.70 Samuel Kaski
  • 2512.14980 #4 · arxiv_oai · confidence 0.70 Samuel Kaski
  • 1407.4981 #3 · backfill · confidence 0.70 Samuel Kaski
  • 1404.0329 #5 · backfill · confidence 0.70 Samuel Kaski
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  • 2605.29108 #9 · arxiv_oai · confidence 0.70 Samuel Kaski
  • 1310.4362 #8 · backfill · confidence 0.70 Samuel Kaski
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  • 2605.26990 #5 · arxiv_oai · confidence 0.70 Samuel Kaski
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  • 1211.1144 #5 · backfill · confidence 0.70 Samuel Kaski
  • 1207.1414 #4 · backfill · confidence 0.70 Samuel Kaski
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  • 1112.6015 #9 · backfill · confidence 0.70 Samuel Kaski
  • 1110.3204 #4 · backfill · confidence 0.70 Samuel Kaski
  • 1109.4928 #4 · backfill · confidence 0.70 Samuel Kaski
  • 2605.18354 #3 · arxiv_oai · confidence 0.70 Samuel Kaski
  • 2405.14657 #3 · arxiv_oai · confidence 0.70 Samuel Kaski
  • 1101.5919 #4 · backfill · confidence 0.70 Samuel Kaski
  • 1012.3407 #4 · backfill · confidence 0.70 Samuel Kaski
  • 0912.3211 #5 · backfill · confidence 0.70 Samuel Kaski
  • 0807.3470 #4 · backfill · confidence 0.70 Samuel Kaski
  • 0803.1628 #3 · backfill · confidence 0.70 Samuel Kaski

Frequent Coauthors