- Page 1 and 2: Online Learning and GameTheory+On L
- Page 3 and 4: Some books/references: Algorithmic
- Page 5 and 6: Consider the following setting… E
- Page 7 and 8: “No-regret” algorithms for repe
- Page 9: Some intuition & properties of no-r
- Page 13 and 14: Using “expert” adviceSay we wan
- Page 15 and 16: Using “expert” adviceBut what i
- Page 17 and 18: Analysis: do nearly as well as best
- Page 19 and 20: Analysis• Say at time t we have f
- Page 21 and 22: What if we have N options,not N pre
- Page 23 and 24: Efficient implicit implementation f
- Page 25 and 26: [Kalai-Vempala’03] and [Zinkevich
- Page 27 and 28: Kalai-Vempala algorithm Recall setu
- Page 29 and 30: Bandit setting What if alg is only
- Page 31 and 32: A natural generalization This gener
- Page 33 and 34: Can combine with [KV],[Z] too: Back
- Page 35 and 36: Consider the following scenario…
- Page 37 and 38: Game Theory terminolgy• Rows and
- Page 39 and 40: Minimax-optimal strategies• Can s
- Page 41 and 42: Minimax-optimal strategies• How a
- Page 43 and 44: Summary of gameValue to guessergues
- Page 45 and 46: Summary of gameValue to guessergues
- Page 47 and 48: Interesting. The hider has a(random
- Page 49 and 50: Nice proof of minimax thm• Suppos
- Page 51 and 52: Can use notion of minimaxoptimality
- Page 53 and 54: • Two players A and B. 3 cards: 1
- Page 55 and 56: And the minimax optimalstrategies a
- Page 57 and 58: Now, to General-Sum games!
- Page 59 and 60: General-sum games• In general-sum
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Nash Equilibrium• A Nash Equilibr
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Uses• Economists use games and eq
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NE can do strange things• Braess
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Existence of NE• Proof will be no
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Proof (cont)• S = {(p,q): p,q are
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Try #1• What about f(p,q) = (p’
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Instead we will use...• f(p,q) =
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One more interesting game“Ultimat
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Boosting & game theory• Suppose I
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Stop 3: What happens ifeveryone is
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What if everyone started using no-r
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What can we say? If algorithms mini
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Internal/swap-regretregret• E.g.,
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Internal/swap-regretregret• If al
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Internal/swap-regret,regret, contdC
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Consider Wardrop/Roughgarden-Tardos
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Global behavior of NR algs Interest
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Global behavior of NR algs [B-EvenD
- Page 97 and 98:
Global behavior of NR algs [B-EvenD
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Last stop: On a Theory ofSimilarity
- Page 101 and 102:
2-minute version• Suppose we are
- Page 103 and 104:
Part 1: On similarityfunctions for
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What’s s a kernel?• A kernel K
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Moreover, generalize well if good m
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I want to use ML to classify protei
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Moreover, generalize well if good m
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Goal: notion of “good similarity
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Defn satisfying (1) and (2):• Say
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How to use itAt least a 1-ε prob m
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But not broad enough+ +_• Idea: w
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Broader defn…• Ask that exists
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And furthermoreNow, defn is broad e
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Summary: part 1• Can develop suff
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Part 2: Can we use thisangle to hel
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What conditions on a similarity fun
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What conditions on a similarity fun
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What conditions on a similarity fun
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Let’s s weaken our goals a bit…
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Then you can start getting somewher
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Example analysis for simpler versio
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PropertyStrict SeparationProperties
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More general conditionsWhat if only
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Other properties• Can also relate
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Conclusions- Natural properties (re