[CSDM] [pvsnp-all] CCI Meeting Friday October 5th
Ankur Moitra
moitra at ias.edu
Sat Sep 29 11:39:48 EDT 2012
Hi All,
Here is the schedule for the CCI Meeting next week.
Best, Ankur
CCI Meeting Friday October 5th
10:00-11:00: PI meeting
11:00-12:00: Amir Shpilka
12:00-12:15: Break to get lunch
12:15-1:00: Amir Shpilka continues
2:00-2:30: Jing Chen
2:30-3:00: Andy Drucker
3:00-3:30: Gillat Kol
Title: On Sunflowers and Matrix Multiplication
Speaker: Amir Shpilka
Abstract: We present several variants of the sunflower conjecture of
Erdos and Rado and discuss the relations among them. We then show that
two of these conjectures (if true) imply negative answers to questions
of Coppersmith and Winograd and of Cohn et al regarding possible
approaches for obtaining fast matrix multiplication algorithms.
Specifically, we show that the Erdos-Rado sunflower conjecture (if
true) implies a negative answer to the ``no three disjoint
equivoluminous subsets'' question of Coppersmith and Winograd; we also
formulate a ``multicolored'' sunflower conjecture in
Z_3^n and show that (if true) it implies a negative answer to the
``strong USP'' conjecture of Cohn et al (although it does not seem to
impact their second conjecture or the viability of the general
group-theoretic approach).
Joint work with Noga Alon and Chris Umans.
Title: Epistemic Implementation: Leveraging Arbitrary Set-Theoretic
Belief Hierarchies
Speaker: Jing Chen
Abstract: In settings of incomplete information, we model the
hierarchy of the players' beliefs about each other?s payoff types in a
set-theoretic way, and leverage it to generate revenue in single-good
auctions. Our mechanisms have no clue about the players' valuations or
beliefs. Yet, they work even when a player's beliefs are totally
arbitrary and wrong, the beliefs of different players are inconsistent
with each other, and the players are not expected-utility maximizers.
For each k greater than or equal to 0, we define a revenue benchmark
$G^k$ over the players' order-k beliefs. Our benchmarks are very
demanding: they are monotonically non-decreasing in k; $G^0$ is the
second highest true valuation; and the gap between each pair $G^k$ and
$G^{k+1}$ can be arbitrary. In particular, for each k greater than 0,
$G^k$ can be arbitrarily larger than the highest true valuation when
the players' beliefs are wrong, and can coincide with the highest true
valuation when all beliefs are correct.
We construct a single, interim individually rational (IIR) mechanism
guaranteeing revenue greater than or equal to $G^k - \epsilon$ for all
k and all profiles of order-(k+1) rationalizable actions, where the
underlying notion of rationality is the very weak one proposed by
Aumann (1995).
Finally, we separate the revenue achievable from order-k and
order-(k+1) rationalizable actions. Indeed we prove that, for any c>0,
no IIR mechanism can guarantee revenue greater than or equal to $G^k -
c$ when the played actions are at most order-k rationalizable.
Title: TBA
Speaker: Andy Drucker
Title: Covering CSPs
Speaker: Gillat Kol
Abstract: We study the covering complexity of constraint
satisfaction problems (CSPs). The covering number of a CSP instance is
the smallest number of assignments to the variables, such that each
constraint is satisfied by at least one of the assignments.
This covering notion describes situations in which we must satisfy all
the constraints, and are willing to use more than one assignment to do
so (as opposed to max-CSP, where we restrict ourselves to a single
assignment). At the same time, we want to minimize the number of
assignments.
We study the covering problem for different constraint predicates, and
give a partial characterization of covering-hard predicates.
Joint work with Irit Dinur.
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