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Svetha Venkatesh

Identifiers

  • name variant Svetha Venkatesh 0.60 · backfill

Papers (79)

  1. Continual Fine-Tuning of Large Language Models via Program Memory cs.LG · 2026 · author #2
  2. Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention cs.CL · 2026 · author #4
  3. SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning cs.LG · 2025 · author #3
  4. Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization cs.LG · 2022 · author #4
  5. Bayesian Optimistic Optimisation with Exponentially Decaying Regret cs.LG · 2021 · author #4
  6. Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces stat.ML · 2020 · author #5
  7. Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization stat.ML · 2019 · author #4
  8. Accelerating Experimental Design by Incorporating Experimenter Hunches stat.ML · 2019 · author #5
  9. Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos cs.CV · 2019 · author #6
  10. Stable Bayesian Optimisation via Direct Stability Quantification stat.ML · 2019 · author #4
  11. Improving Generalization and Stability of Generative Adversarial Networks cs.LG · 2019 · author #3
  12. Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives cs.LG · 2019 · author #4
  13. Learning to Remember More with Less Memorization cs.LG · 2019 · author #3
  14. Graph Transformation Policy Network for Chemical Reaction Prediction cs.NE · 2018 · author #3
  15. Practical Batch Bayesian Optimization for Less Expensive Functions cs.LG · 2018 · author #5
  16. Hybrid Generative-Discriminative Models for Inverse Materials Design stat.ML · 2018 · author #5
  17. Relational dynamic memory networks cs.AI · 2018 · author #3
  18. Variational Memory Encoder-Decoder cs.CL · 2018 · author #4
  19. Attentional Multilabel Learning over Graphs: A Message Passing Approach cs.LG · 2018 · author #4
  20. Rapid Bayesian optimisation for synthesis of short polymer fiber materials stat.ML · 2018 · author #9
  21. High Dimensional Bayesian Optimization Using Dropout stat.ML · 2018 · author #5
  22. Covariance Function Pre-Training with m-Kernels for Accelerated Bayesian Optimisation stat.ML · 2018 · author #7
  23. Dual Control Memory Augmented Neural Networks for Treatment Recommendations cs.LG · 2018 · author #3
  24. Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records cs.NE · 2018 · author #3
  25. Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning cs.LG · 2018 · author #3
  26. Knowledge Graph Embedding with Multiple Relation Projections cs.AI · 2018 · author #3
  27. Graph Memory Networks for Molecular Activity Prediction cs.LG · 2018 · author #3
  28. Finding Algebraic Structure of Care in Time: A Deep Learning Approach cs.LG · 2017 · author #3
  29. Nonnegative Restricted Boltzmann Machines for Parts-based Representations Discovery and Predictive Model Stabilization cs.LG · 2017 · author #4
  30. Statistical Latent Space Approach for Mixed Data Modelling and Applications cs.LG · 2017 · author #4
  31. Energy-based Models for Video Anomaly Detection cs.CV · 2017 · author #5
  32. Graph Classification via Deep Learning with Virtual Nodes cs.LG · 2017 · author #4
  33. Deep Learning to Attend to Risk in ICU cs.LG · 2017 · author #3
  34. Budgeted Batch Bayesian Optimization With Unknown Batch Sizes cs.LG · 2017 · author #5
  35. Learning Deep Matrix Representations cs.LG · 2017 · author #3
  36. One Size Fits Many: Column Bundle for Multi-X Learning stat.ML · 2017 · author #3
  37. Control Matching via Discharge Code Sequences cs.LG · 2016 · author #4
  38. Multilevel Anomaly Detection for Mixed Data cs.LG · 2016 · author #3
  39. Stabilizing Linear Prediction Models using Autoencoder stat.ML · 2016 · author #4
  40. Column Networks for Collective Classification cs.LG · 2016 · author #4
  41. Outlier Detection on Mixed-Type Data: An Energy-based Approach stat.ML · 2016 · author #4
  42. Faster Training of Very Deep Networks Via p-Norm Gates stat.ML · 2016 · author #4
  43. Preterm Birth Prediction: Deriving Stable and Interpretable Rules from High Dimensional Data stat.ML · 2016 · author #6
  44. Deepr: A Convolutional Net for Medical Records stat.ML · 2016 · author #4
  45. Achieving stable subspace clustering by post-processing generic clustering results cs.CV · 2016 · author #3
  46. An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments stat.ML · 2016 · author #5
  47. Learning deep representation of multityped objects and tasks stat.ML · 2016 · author #3
  48. Choice by Elimination via Deep Neural Networks stat.ML · 2016 · author #3
  49. Collaborative filtering via sparse Markov random fields stat.ML · 2016 · author #3
  50. DeepCare: A Deep Dynamic Memory Model for Predictive Medicine stat.ML · 2016 · author #4
  51. Discovering topic structures of a temporally evolving document corpus cs.IR · 2015 · author #4
  52. Overcoming data scarcity of Twitter: using tweets as bootstrap with application to autism-related topic content analysis cs.SI · 2015 · author #4
  53. Using Twitter to learn about the autism community cs.SI · 2015 · author #4
  54. The adaptable buffer algorithm for high quantile estimation in non-stationary data streams cs.CV · 2015 · author #3
  55. Groupwise registration of aerial images cs.CV · 2015 · author #3
  56. Viewpoint distortion compensation in practical surveillance systems cs.CV · 2015 · author #3
  57. Hierarchical Dirichlet process for tracking complex topical structure evolution and its application to autism research literature cs.IR · 2015 · author #4
  58. Two maximum entropy based algorithms for running quantile estimation in non-stationary data streams cs.DS · 2014 · author #3
  59. Stream quantiles via maximal entropy histograms cs.DS · 2014 · author #3
  60. Boosted Markov Networks for Activity Recognition cs.LG · 2014 · author #3
  61. Human Activity Learning and Segmentation using Partially Hidden Discriminative Models cs.LG · 2014 · author #3
  62. MCMC for Hierarchical Semi-Markov Conditional Random Fields stat.ML · 2014 · author #3
  63. Mixed-Variate Restricted Boltzmann Machines stat.ML · 2014 · author #3
  64. Thurstonian Boltzmann Machines: Learning from Multiple Inequalities stat.ML · 2014 · author #3
  65. Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis stat.ML · 2014 · author #3
  66. Learning From Ordered Sets and Applications in Collaborative Ranking cs.LG · 2014 · author #3
  67. Learning Structured Outputs from Partial Labels using Forest Ensemble stat.ML · 2014 · author #3
  68. Permutation Models for Collaborative Ranking cs.IR · 2014 · author #2
  69. Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records stat.ML · 2014 · author #4
  70. Learning Rank Functionals: An Empirical Study cs.IR · 2014 · author #3
  71. Stabilized Sparse Ordinal Regression for Medical Risk Stratification stat.AP · 2014 · author #4
  72. Preference Networks: Probabilistic Models for Recommendation Systems cs.IR · 2014 · author #3
  73. Tree-based iterated local search for Markov random fields with applications in image analysis cs.AI · 2014 · author #3
  74. Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts cs.LG · 2014 · author #4
  75. Efficient algorithms for robust recovery of images from compressed data cs.IT · 2012 · author #2
  76. A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning cs.LG · 2012 · author #3
  77. Ordinal Boltzmann Machines for Collaborative Filtering cs.IR · 2012 · author #3
  78. Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data stat.ML · 2010 · author #4
  79. Probabilistic Models over Ordered Partitions with Application in Learning to Rank cs.IR · 2010 · author #3

Mentions

  • 1009.2009 #4 · backfill · confidence 0.70 Svetha Venkatesh
  • 1009.1690 #3 · backfill · confidence 0.70 Svetha Venkatesh

Frequent Coauthors