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Stephen Roberts

Identifiers

  • name variant Stephen Roberts 0.60 · backfill

Papers (43)

  1. Model Merging by Output-Space Projection cs.LG · 2026 · author #3
  2. Robust Audio Tagging under Class-wise Supervision Unreliability eess.AS · 2026 · author #7
  3. Extending Deep Learning Models for Limit Order Books to Quantile Regression q-fin.TR · 2019 · author #3
  4. MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning stat.ML · 2019 · author #6
  5. Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs stat.ML · 2019 · author #3
  6. A Machine Learning approach to Risk Minimisation in Electricity Markets with Coregionalized Sparse Gaussian Processes q-fin.RM · 2019 · author #2
  7. WiSE-ALE: Wide Sample Estimator for Approximate Latent Embedding cs.LG · 2019 · author #5
  8. A Probabilistic Approach to Nonparametric Local Volatility q-fin.CP · 2019 · author #2
  9. Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity stat.ML · 2018 · author #14
  10. BDLOB: Bayesian Deep Convolutional Neural Networks for Limit Order Books q-fin.CP · 2018 · author #3
  11. Intersectionality: Multiple Group Fairness in Expectation Constraints stat.ML · 2018 · author #3
  12. Semi-unsupervised Learning of Human Activity using Deep Generative Models stat.ML · 2018 · author #3
  13. Sequential sampling of Gaussian process latent variable models stat.ML · 2018 · author #3
  14. Entropic Spectral Learning for Large-Scale Graphs stat.ML · 2018 · author #6
  15. MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting stat.ML · 2018 · author #3
  16. Gradient descent in Gaussian random fields as a toy model for high-dimensional optimisation in deep learning stat.ML · 2018 · author #2
  17. VBALD - Variational Bayesian Approximation of Log Determinants cs.LG · 2018 · author #5
  18. Cost-sensitive detection with variational autoencoders for environmental acoustic sensing stat.ML · 2017 · author #7
  19. Novel Exploration Techniques (NETs) for Malaria Policy Interventions cs.AI · 2017 · author #3
  20. Riemannian tangent space mapping and elastic net regularization for cost-effective EEG markers of brain atrophy in Alzheimer's disease stat.ML · 2017 · author #13
  21. Mosquito detection with low-cost smartphones: data acquisition for malaria research stat.ML · 2017 · author #6
  22. Entropic Determinants stat.ML · 2017 · author #2
  23. Behaviour of the Serre Equations in the Presence of Steep Gradients Revisited math.NA · 2017 · author #3
  24. Mosquito Detection with Neural Networks: The Buzz of Deep Learning stat.ML · 2017 · author #7
  25. Entropic Trace Estimates for Log Determinants cs.NA · 2017 · author #6
  26. Bayesian Inference of Log Determinants stat.ML · 2017 · author #4
  27. An information and field theoretic approach to the grand canonical ensemble cond-mat.stat-mech · 2017 · author #2
  28. A Direct Mapping of Max k-SAT and High Order Parity Checks to a Chimera Graph quant-ph · 2016 · author #5
  29. Extracting Predictive Information from Heterogeneous Data Streams using Gaussian Processes q-fin.ST · 2016 · author #2
  30. Blitzkriging: Kronecker-structured Stochastic Gaussian Processes stat.ML · 2015 · author #5
  31. String and Membrane Gaussian Processes stat.ML · 2015 · author #2
  32. Anomaly Detection and Removal Using Non-Stationary Gaussian Processes stat.ML · 2015 · author #4
  33. String Gaussian Process Kernels stat.ML · 2015 · author #2
  34. Generalized Spectral Kernels stat.ML · 2015 · author #2
  35. Detecting bird sound in unknown acoustic background using crowdsourced training data stat.ML · 2015 · author #2
  36. Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes stat.ML · 2014 · author #2
  37. Communication Communities in MOOCs cs.CY · 2014 · author #5
  38. Conservative collision prediction and avoidance for stochastic trajectories in continuous time and space cs.AI · 2014 · author #3
  39. Efficient State-Space Inference of Periodic Latent Force Models stat.ML · 2013 · author #2
  40. Dynamic Bayesian Combination of Multiple Imperfect Classifiers math.ST · 2012 · author #2
  41. Statistics of Stellar Variability from Kepler - I: Revisiting Quarter 1 with an Astrophysically Robust Systematics Correction astro-ph.SR · 2011 · author #3
  42. Efficient Bayesian Community Detection using Non-negative Matrix Factorisation stat.ML · 2010 · author #2
  43. Spectral Decompositions for Evolution Opertors of Mixing Dynamical Systems cond-mat · 2000 · author #1

Mentions

  • 1510.07965 #5 · backfill · confidence 0.70 Stephen Roberts
  • 1706.08637 #3 · arxiv_oai · confidence 0.70 Stephen Roberts
  • 1704.07223 #6 · arxiv_oai · confidence 0.70 Stephen Roberts
  • 1704.01445 #4 · arxiv_oai · confidence 0.70 Stephen Roberts
  • 1507.06977 #2 · backfill · confidence 0.70 Stephen Roberts
  • 1507.00566 #4 · backfill · confidence 0.70 Stephen Roberts
  • 1506.02239 #2 · backfill · confidence 0.70 Stephen Roberts
  • 1506.02236 #2 · backfill · confidence 0.70 Stephen Roberts
  • 1505.06443 #2 · backfill · confidence 0.70 Stephen Roberts
  • 1410.6834 #2 · backfill · confidence 0.70 Stephen Roberts
  • 1403.4640 #5 · backfill · confidence 0.70 Stephen Roberts
  • 1402.4157 #3 · backfill · confidence 0.70 Stephen Roberts
  • 2605.29101 #3 · arxiv_oai · confidence 0.70 Stephen Roberts
  • 1310.6319 #2 · backfill · confidence 0.70 Stephen Roberts
  • 1206.1831 #2 · backfill · confidence 0.70 Stephen Roberts
  • 1111.5580 #3 · backfill · confidence 0.70 Stephen Roberts
  • 2605.17512 #7 · arxiv_oai · confidence 0.70 Stephen Roberts
  • 1009.2646 #2 · backfill · confidence 0.70 Stephen Roberts

Frequent Coauthors