## Organisers:

## Time:

## Venue:

**Abstract: **A polynomial $f(x_1,\ldots,x_n)$ is said to be an identity for $m \times m$ matrices if $f(M_1,\ldots,M_n) = 0$ for all choices of $m \times m$ matrices for $M_i$s.

Speaker:

Anamay Tengse, TIFR

Friday, 16 November 2018, 16:00 to 17:00

**Abstract: **A polynomial $f(x_1,\ldots,x_n)$ is said to be an identity for $m \times m$ matrices if $f(M_1,\ldots,M_n) = 0$ for all choices of $m \times m$ matrices for $M_i$s.

Speaker:

Gunjan Kumar, TIFR

Friday, 9 November 2018, 17:15 to 18:45

In the problem of partial function extension, we are given a partial function consisting of a set of $n$ points in a domain and a function value at each point.

Speaker:

Suhail Sherif, TIFR

Friday, 2 November 2018, 17:15 to 18:45

Abstract: The communication complexity of a function f(x,y) is the number of bits that Alice and Bob need to communicate in order to compute f, when Alice has x and Bob has y.

Speaker:

Anamay Tengse, TIFR

Friday, 12 October 2018, 17:15 to 18:15

Polynomial identity testing (PIT) is the algorithmic task of determining whether a given polynomial is identically zero.

Speaker:

Gowtham Raghunath Kurri, TIFR

Friday, 5 October 2018, 17:15 to 18:15

**Abstract:** Given two discrete random variables $X$ and $Y$, how much information does $Y$ leak about $X$?

Speaker:

Anand Deo, TIFR

Friday, 21 September 2018, 17:15 to 18:15

**Abstract:** Assume that we have to move a load of coal from source pile A to destination pile B, both of whose shape we know, and whose capacities are identical.

Speaker:

Prerona Chatterjee, TIFR

Friday, 14 September 2018, 17:15 to 18:15

Abstract: Suppose we are given a set of $k$ polynomials, $f_1, \ldots, f_k \in \mathbb{F}[x_1, \ldots, x_n]$.

Speaker:

Shubhada Agrawal, TIFR

Friday, 7 September 2018, 17:15 to 18:15

Abstract : The stochastic multi-armed bandit model is a simple abstraction that has been proven useful in many different contexts in statistics and machine learning. The problem is studied in a number of settings.

Speaker:

Tulasi mohan Molli, TIFR

Wednesday, 29 August 2018, 17:15 to 18:15

A probabilistic polynomial is like a randomized algorithm. It is a distribution on polynomials such that, for each input, the probabilistic polynomial computes the function exactly with high probability.

Vishwas Bhargava

Friday, 24 August 2018, 17:15 to 18:15

In this talk, we describe a new type of probabilistic algorithm (introduced by Gat and Goldwasser [GG11]) called Pseudo-deterministic Algorithms: a randomized algorithm which is guaranteed to run in expected polynomial time and to produce a correc