10-801

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1. 1▶10-801 Lecture 11: Bloom filters10-801 Advanced Optimization and Randomized AlgorithmsNotes
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2. 2▶10-801 Lecture 10: Variations of the Flajolet-Martin Counter, Heavy Hitter Detection10-801 Advanced Optimization and Randomized AlgorithmsNotes
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3. 3▶10-801 Lecture 9: Concentration Inequalities10-801 Advanced Optimization and Randomized AlgorithmsNotes
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4. 4▶10-801 Lecture 8: Simhash Example, Minwise Hash Properties10-801 Advanced Optimization and Randomized AlgorithmsNotes
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5. 5▶10-801 Lecture 6: Weak duality, strong duality, minimax10-801 Advanced Optimization and Randomized AlgorithmsNotes
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6. 6▶10-801 Lecture 7: Duality, KKT, conic duality10-801 Advanced Optimization and Randomized AlgorithmsNotes
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7. 7▶10-801 Lecture 5: Hash functions, LSH, Simhash10-801 Advanced Optimization and Randomized AlgorithmsNotes
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8. 8▶10-801 Lecture 4: SDP relaxations, MaxCUT, Goemans-Williamson10-801 Advanced Optimization and Randomized AlgorithmsNotes
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9. 9▶10-801 Lecture 3: Conjugates, Subdifferentials, Optimization Problems10-801 Advanced Optimization and Randomized AlgorithmsNotes
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10. 10▶10-801 Lecture 2: Convex Functions10-801 Advanced Optimization and Randomized AlgorithmsNotes
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11. 11▶10-801 Lecture 1: Convex Sets10-801 Advanced Optimization and Randomized AlgorithmsNotes
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