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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 1000 | yes | IIT Bombay |
The Syllabus
- Introduction to Bandit Algorithms. From Batch to Online Setting
- Adversarial Setting with Full information (Halving, WM Algorithm )
- Adversarial Setting with Bandit Information
- Regret lower bounds for adversarial Setting
- Introduction to Stochastic Setting and various regret notions
- A primer on Concentration inequalities
- Stochastic Bandit Algorithms UCB, KL-UCB
- Lower bounds for stochastic Bandits
- Introductions to contextual bandits
- Overview of contextual bandit algorithms
- Introduction to pure exploration setups (fixed confidence vs budget)
- Algorithms for pure explorations (LUCB, KL-LUCB, lil’UCB)
Instructors
Articles
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2 Dec'24, 12:54 PM
29 Nov'24, 06:03 AM
19 Nov'24, 10:59 AM
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11 Oct'24, 06:01 AM
13 Mar'24, 06:24 AM
29 Feb'24, 06:05 AM
27 Feb'24, 10:32 AM
13 Feb'24, 06:25 AM
3 Dec'24, 12:19 PM
3 Dec'24, 08:59 AM
2 Dec'24, 12:54 PM
2 Dec'24, 12:31 PM
30 Nov'24, 01:01 PM
30 Nov'24, 01:00 PM
30 Nov'24, 12:59 PM
30 Nov'24, 10:26 AM
29 Nov'24, 09:40 AM
29 Nov'24, 08:38 AM
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