pith. sign in

David Sontag

Identifiers

  • name variant David Sontag 0.60 · backfill

Papers (37)

  1. LLMs can construct powerful representations and streamline sample-efficient supervised learning cs.AI · 2026 · author #4
  2. DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research cs.CL · 2025 · author #10
  3. Large Language Models are Powerful Electronic Health Record Encoders cs.LG · 2025 · author #5
  4. Evaluating Physician-AI Interaction for Cancer Management: Paving the Path towards Precision Oncology cs.HC · 2024 · author #7
  5. Support and Invertibility in Domain-Invariant Representations stat.ML · 2019 · author #2
  6. Overcomplete Independent Component Analysis via SDP stat.ML · 2019 · author #6
  7. Prototypical Clustering Networks for Dermatological Disease Diagnosis cs.CV · 2018 · author #5
  8. Evaluating Reinforcement Learning Algorithms in Observational Health Settings cs.LG · 2018 · author #19
  9. Why Is My Classifier Discriminatory? stat.ML · 2018 · author #3
  10. Learning Weighted Representations for Generalization Across Designs stat.ML · 2018 · author #4
  11. Semi-Amortized Variational Autoencoders stat.ML · 2018 · author #4
  12. Optimality of Approximate Inference Algorithms on Stable Instances stat.ML · 2017 · author #2
  13. Causal Effect Inference with Deep Latent-Variable Models stat.ML · 2017 · author #4
  14. Grounded Recurrent Neural Networks stat.ML · 2017 · author #3
  15. Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning cs.CL · 2017 · author #3
  16. Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation stat.ML · 2016 · author #3
  17. Structured Inference Networks for Nonlinear State Space Models stat.ML · 2016 · author #3
  18. Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization stat.ML · 2016 · author #3
  19. Clinical Tagging with Joint Probabilistic Models stat.ML · 2016 · author #3
  20. Multi-task Prediction of Disease Onsets from Longitudinal Lab Tests cs.LG · 2016 · author #3
  21. Estimating individual treatment effect: generalization bounds and algorithms stat.ML · 2016 · author #3
  22. Recurrent Neural Networks for Multivariate Time Series with Missing Values cs.LG · 2016 · author #4
  23. Learning Representations for Counterfactual Inference stat.ML · 2016 · author #3
  24. Temporal Convolutional Neural Networks for Diagnosis from Lab Tests cs.LG · 2015 · author #2
  25. Deep Kalman Filters stat.ML · 2015 · author #3
  26. Anchored Discrete Factor Analysis stat.ML · 2015 · author #3
  27. Barrier Frank-Wolfe for Marginal Inference stat.ML · 2015 · author #3
  28. Train and Test Tightness of LP Relaxations in Structured Prediction stat.ML · 2015 · author #4
  29. Character-Aware Neural Language Models cs.CL · 2015 · author #3
  30. Incorporating Type II Error Probabilities from Independence Tests into Score-Based Learning of Bayesian Network Structure cs.LG · 2015 · author #2
  31. Tight Error Bounds for Structured Prediction cs.LG · 2014 · author #3
  32. Lifted Tree-Reweighted Variational Inference cs.AI · 2014 · author #3
  33. Unsupervised Learning of Noisy-Or Bayesian Networks cs.LG · 2013 · author #2
  34. SparsityBoost: A New Scoring Function for Learning Bayesian Network Structure cs.LG · 2013 · author #2
  35. A Practical Algorithm for Topic Modeling with Provable Guarantees cs.LG · 2012 · author #6
  36. Efficiently Searching for Frustrated Cycles in MAP Inference cs.DS · 2012 · author #1
  37. Tightening LP Relaxations for MAP using Message Passing cs.DS · 2012 · author #1

Mentions

  • 1212.4777 #6 · backfill · confidence 0.70 David Sontag
  • 1210.4902 #1 · backfill · confidence 0.70 David Sontag
  • 1206.3288 #1 · backfill · confidence 0.70 David Sontag
  • 2603.11679 #4 · arxiv_oai · confidence 0.70 David Sontag
  • 2404.15187 #7 · arxiv_oai · confidence 0.70 David Sontag
  • 2511.19399 #10 · arxiv_oai · confidence 0.70 David Sontag

Frequent Coauthors