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Optimal Predictors: A Bayesian Notion of Approximation Algorithm
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Assignment_of_probabilities_to_mathematical__.tex
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Fix_Gamma_a_pair_of__.tex
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From_the_perspective_of_frequentist__.tex
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In_the_motivational_model_the__.tex
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Note_that_the_characterization_of__.tex
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Optimal_predictors_turn_out_to__.tex
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TODO_Advice_is_more_powerful__.tex
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The_following_theorem_is_the__1.tex
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The_idea_of_assigning_probabilities__.tex
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The_structure_of_the_paper__.tex
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To_prove_theorem_ref_thm__.tex
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We_note_a_few_simple__.tex
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We_now_introduce_our_abstraction__.tex
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We_now_introduce_our_notion__.tex
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abstract.tex
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appendix_section_Appendix_One_Way__.tex
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begin_example_For_any_n__.tex
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begin_proof_Proof_of_Theorem__.tex
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header.tex
layout.md
section_Discussion_TBD_subsection_Acknowledgments__.tex
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section_Existence_and_Uniqueness_TBD__.tex
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section_Fundamentals_subsection_Optimal_Predictors__.tex
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section_Optimal_Predictors_and_Probability__.tex
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section_Reductions_and_Completeness_TBD__.tex
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section_Reflective_Systems_and_Game__.tex
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setcounter_section_1_section_Notation__.tex
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subsection_Acknowledgments_TBD__.tex
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subsection_Algorithms_Words_is_the__.tex
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subsection_Measures_and_Probabilities_For__.tex
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subsection_Orthogonality_Theorems_There_is__.tex
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subsection_Simple_Example_TBD__.tex
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title.tex
untitled.tex
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