52 results on '"Ilya Markov"'
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2. Towards stable real-world equation discovery with assessing differentiating quality influence.
3. Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank.
4. Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank.
5. NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization.
6. ViTOR: Learning to Rank Webpages Based on Visual Features.
7. When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments.
8. BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback.
9. Safe Exploration for Optimizing Contextual Bandits.
10. MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation.
11. Local Variational Feature-Based Similarity Models for Recommending Top-N New Items.
12. N-gramas de sílabas vs. n-gramas de caracteres para la tarea de atribución de autoría en un corpus multi-tema.
13. Manifold Learning for Rank Aggregation.
14. Calibration: A Simple Way to Improve Click Models.
15. A Click Sequence Model for Web Search.
16. Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank.
17. Evaluating and Analyzing Click Simulation in Web Search.
18. Online Expectation-Maximization for Click Models.
19. Safe Exploration for Optimizing Contextual Bandits.
20. Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank.
21. What Should We Teach in Information Retrieval?
22. A Neural Click Model for Web Search.
23. A Context-aware Time Model for Web Search.
24. ViTOR: Learning to Rank Webpages Based on Visual Features.
25. A Comparative Study of Click Models for Web Search.
26. User Behavior in Location Search on Mobile Devices.
27. Towards Risk-Aware Resource Selection.
28. Vertical-Aware Click Model-Based Effectiveness Metrics.
29. BubbleRank: Safe Online Learning to Rerank.
30. Online Learning to Rank with List-level Feedback for Image Filtering.
31. A Click Sequence Model for Web Search.
32. Merge Double Thompson Sampling for Large Scale Online Ranker Evaluation.
33. An Introduction to Click Models for Web Search: SIGIR 2015 Tutorial.
34. 9th Russian Summer School in Information Retrieval (RuSSIR 2015).
35. Reducing the Uncertainty in Resource Selection.
36. On CORI Results Merging.
37. Distributed Information Retrieval and Applications.
38. Overview of the NTCIR-12 IMine-2 Task.
39. Defining the Dynamicity and Diversity of Text Collections.
40. Conversational Exploratory Search via Interactive Storytelling.
41. Theoretical, Qualitative, and Quantitative Analyses of Small-Document Approaches to Resource Selection.
42. Image Retrieval: Color and Texture Combining Based on Query-Image.
43. Query Classification in Content-Based Image Retrieval.
44. Click Models for Web Search
45. Click Models for Web Search and their Applications to IR: WSDM 2016 Tutorial.
46. Opinions in Federated Search: University of Lugano at TREC 2014 Federated Web Search Track.
47. Advanced Click Models and their Applications to IR: SIGIR 2015 Tutorial.
48. University of Lugano at TREC 2009 Blog Track.
49. VP-tree: Content-Based Image Indexing.
50. Unsupervised linear score normalization revisited.
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