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Joydeep Ghosh

Identifiers

  • name variant Joydeep Ghosh 0.60 · backfill

Papers (43)

  1. MILM: Large Language Models for Multimodal Irregular Time Series with Informative Sampling cs.LG · 2026 · author #6
  2. RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation cs.IR · 2026 · author #5
  3. Goal-Conditioned Supervised Learning for LLM Fine-Tuning cs.LG · 2026 · author #4
  4. OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration cs.MA · 2025 · author #3
  5. Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems cs.LG · 2019 · author #5
  6. Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval cs.IR · 2019 · author #2
  7. Scaling Data Association for Hypothesis-Oriented MHT eess.SP · 2019 · author #2
  8. Interpreting Black Box Predictions using Fisher Kernels cs.LG · 2018 · author #3
  9. PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization cs.LG · 2018 · author #4
  10. xGEMs: Generating Examplars to Explain Black-Box Models cs.LG · 2018 · author #4
  11. Measurement-wise Occlusion in Multi-object Tracking cs.CV · 2018 · author #2
  12. Nonparametric Bayesian Sparse Graph Linear Dynamical Systems stat.ML · 2018 · author #2
  13. Relaxed Oracles for Semi-Supervised Clustering stat.ML · 2017 · author #2
  14. Semi-Supervised Active Clustering with Weak Oracles stat.ML · 2017 · author #2
  15. Optimal Alarms for Vehicular Collision Detection stat.ML · 2017 · author #2
  16. Boosting Variational Inference: an Optimization Perspective cs.LG · 2017 · author #3
  17. Scalable Greedy Feature Selection via Weak Submodularity stat.ML · 2017 · author #5
  18. Graphical RNN Models cs.NE · 2016 · author #3
  19. Preference Completion from Partial Rankings stat.ML · 2016 · author #3
  20. Phenotyping using Structured Collective Matrix Factorization of Multi--source EHR Data stat.AP · 2016 · author #3
  21. Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization stat.ML · 2016 · author #4
  22. Information Projection and Approximate Inference for Structured Sparse Variables stat.ML · 2016 · author #2
  23. ACDC: $\alpha$-Carving Decision Chain for Risk Stratification stat.ML · 2016 · author #3
  24. Generalized Linear Models for Aggregated Data stat.ML · 2016 · author #2
  25. Monotone Retargeting for Unsupervised Rank Aggregation with Object Features stat.ML · 2016 · author #2
  26. Unified View of Matrix Completion under General Structural Constraints stat.ML · 2016 · author #3
  27. Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices stat.ML · 2015 · author #2
  28. Exponential Family Matrix Completion under Structural Constraints stat.ML · 2015 · author #3
  29. DPM: A State Space Model for Large-Scale Direct Marketing stat.AP · 2015 · author #3
  30. A Constrained Matrix-Variate Gaussian Process for Transposable Data stat.ML · 2014 · author #3
  31. EPIC: Efficient prediction of IC manufacturing hotspots with a unified meta-classification formulation cs.AR · 2014 · author #3
  32. Perturbed Gibbs Samplers for Synthetic Data Release stat.ML · 2013 · author #2
  33. Constrained Bayesian Inference for Low Rank Multitask Learning cs.LG · 2013 · author #2
  34. Risk Prediction of a Multiple Sclerosis Diagnosis stat.AP · 2013 · author #2
  35. The trace norm constrained matrix-variate Gaussian process for multitask bipartite ranking cs.LG · 2013 · author #3
  36. Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning cs.LG · 2012 · author #3
  37. Dating Texts without Explicit Temporal Cues cs.CL · 2012 · author #4
  38. Learning to Rank With Bregman Divergences and Monotone Retargeting cs.LG · 2012 · author #3
  39. A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles cs.LG · 2012 · author #3
  40. An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers cs.LG · 2012 · author #3
  41. Robust Combining of Disparate Classifiers through Order Statistics cs.LG · 1999 · author #2
  42. Linear and Order Statistics Combiners for Pattern Classification cs.NE · 1999 · author #2
  43. Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer cs.NE · 1999 · author #3

Mentions

  • 1404.6702 #3 · backfill · confidence 0.70 Joydeep Ghosh
  • 1402.2904 #3 · backfill · confidence 0.70 Joydeep Ghosh
  • 1312.5370 #2 · backfill · confidence 0.70 Joydeep Ghosh
  • 1309.6840 #2 · backfill · confidence 0.70 Joydeep Ghosh
  • 1303.1170 #2 · backfill · confidence 0.70 Joydeep Ghosh
  • 1302.2576 #3 · backfill · confidence 0.70 Joydeep Ghosh
  • 1211.2304 #3 · backfill · confidence 0.70 Joydeep Ghosh
  • 1211.2290 #4 · backfill · confidence 0.70 Joydeep Ghosh
  • 1210.4851 #3 · backfill · confidence 0.70 Joydeep Ghosh
  • 1206.0994 #3 · backfill · confidence 0.70 Joydeep Ghosh
  • 1204.4521 #3 · backfill · confidence 0.70 Joydeep Ghosh
  • 2605.16345 #4 · arxiv_oai · confidence 0.70 Joydeep Ghosh

Frequent Coauthors