Theory of Computation (TOC) Seminar

Avishay Tal: Oracle Separation of BQP and the Polynomial Hierarchy
Tuesday, November 27, 2018 - 4:00pm to 5:00pm
Abstract:
In their seminal paper, Bennett, Bernstein, Brassard and Vazirani
[SICOMP, 1997] showed that relative to an oracle, quantum algorithms
are unable to solve NP-complete problems in sub-exponential time
Dean Doron: Probabilistic logspace algorithms for Laplacian solvers
Tuesday, December 11, 2018 - 4:00pm to 5:00pm
Abstract:  A series of breakthroughs initiated by Spielman and Teng culminated in the construction of nearly linear time Laplacian solvers, approximating the solution of a linear system Lx = b, where L is the Laplacian of an undirected graph. 
Aaron Sidford: Perron-Frobenius Theory in Nearly Linear Time
Tuesday, November 13, 2018 - 4:00pm to 5:00pm

Vijay Vazirani: Planar Graph Perfect Matching is in NC
Tuesday, November 6, 2018 - 4:00pm to 5:00pm
Abstract:  Is matching in NC, i.e., is there a deterministic fast parallel algorithm for it?
Xiao Wang (MIT): Covert Security with Public Verifiability: Simpler, Faster, and Leaner
Friday, October 12, 2018 - 10:30am to 12:00pm
Abstract:
Suresh Venkatasubramanian: Towards a theory (or theories) of fairness in automated decision-making
Tuesday, October 2, 2018 - 4:00pm to 5:00pm

Abstract: 

Sasha Razborov: Grand Challanges in Complexity Theory through the Lens of Proof Theory
Tuesday, September 25, 2018 - 4:00pm to 5:00pm

Abstract: Given our current inability to even formulate a coherent program towards
solving grand challenges in computational complexity (such as P vs. NP), it
becomes increasingly important to at least understand this state of affairs;

Costis Daskalakis: Improving Generative Adversarial Networks using Game Theory and Statistics
Tuesday, September 18, 2018 - 4:00pm to 5:00pm

Abstract: Generative Adversarial Networks (aka GANs) are a recently proposed approach for learning samplers of high-dimensional distributions with intricate structure, such as distributions over natural images, given samples from these distributions.

Urmila Mahadev: Classical Verification of Quantam Computation
Tuesday, October 23, 2018 - 4:00pm to 5:00pm

Abstract: We present the first protocol allowing a classical computer to interactively verify the result of an efficient quantum computation.

Dor Minzer: 2-to-2 Games is NP-hard
Wednesday, April 11, 2018 - 4:15pm to 5:15pm
Benny Applebaum: Exponentially-Hard gap-CSP and local PRG via Local Hardcore Functions
Tuesday, April 10, 2018 - 4:00pm to 5:00pm
Abstract:
Is it possible to approximate the value of a 3-CNF formula to within a small constant factor in sub-exponential time?
Ohad Shamir: Is Depth Needed for Deep Learning? Circuit Complexity in Neural Networks
Tuesday, March 20, 2018 - 4:15pm to 5:15pm
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Amnon Ta-Shma: Parity samplers and explicit, epsilon-Balanced codes close to the GV Bound
Tuesday, February 13, 2018 - 4:00pm to 5:00pm

Abstract:

Asaf Shapira: Efficient graph property testing
Tuesday, February 6, 2018 - 4:00pm to 5:00pm

Abstract: Results from around 10 years ago more or less determined which graph properties can be tested with a constant number of queries. However, in most cases the “constants” involves were enormous.

Barna Saha: Space & Time Efficient Algorithms for "Bounded Difference" Problems
Tuesday, December 12, 2017 - 4:00pm to 5:00pm
Pravesh Kothari: Outlier-Robust Moment Estimation via Sum-of-Squares
Tuesday, December 5, 2017 - 4:00pm to 5:00pm

Abstract: 

Kasper Green Larsen: Crossing the Logarithmic Barrier for Dynamic Boolean Data Structure Lower Bounds
Tuesday, November 28, 2017 - 4:00pm to 5:00pm
Venkatesan Guruswami: Promise Constraint Satisfaction
Tuesday, November 14, 2017 - 4:00pm to 5:00pm

Abstract:  Given a 5-SAT instance admitting an assignment satisfying at least 2 literals in each clause, can one efficiently find a satisfying assignment that sets at least one literal to true in each clause?

Omer Paneth: On the round Complexity of Zero-Knowledge Protocols and Compressing Collisions
Tuesday, November 7, 2017 - 4:00pm to 5:00pm
Noga Alon: Structure, randomness and universality
Tuesday, October 31, 2017 - 4:00pm to 5:00pm

Abstract: What is the minimum possible number of vertices of a graph that contains every k-vertex graph as an induced subgraph ? What is the minimum possible number of edges in a graph that contains every k-vertex graph with maximum degree 3 as a subgraph ?

Sanjam Garg: Identity-Based Encryption from the Diffie-Hellman Assumption
Tuesday, September 19, 2017 - 4:00pm to 5:00pm

In this talk, I will describe a new construction of identity-based encryption based on the hardness 

Russell Impagliazzo: Learning models : connections between boosting, hard-core distributions, dense models, GAN, and regularity
Tuesday, September 12, 2017 - 4:00pm to 5:00pm

Learning models : connections between boosting, hard-core distributions, dense models, GAN, and regularity
 

Yuval Peres: Trace reconstruction for the deletion channel
Tuesday, May 2, 2017 - 4:00pm to 5:00pm

Abstract: In the trace reconstruction problem, an unknown string $x$ of $n$ bits is observed through  the deletion channel, which deletes each bit with some constant probability $q$, yielding a contracted string.  How many independent outputs (traces) of the deletion channel are needed to reconst

Cynthia Dwork: What's Fair?
Tuesday, April 25, 2017 - 4:00pm to 5:00pm

Abstract: Data, algorithms, and systems have biases embedded within them reflecting designers’ explicit and implicit choices, historical biases, and societal priorities.

Andrea Montanari: The landscape of some statistical problems
Wednesday, April 19, 2017 - 4:30pm to 5:30pm

Abstract:  Most high-dimensional estimation and prediction methods propose to minimize a cost function
(empirical risk) that is written as a sum of losses associated to each data point (each example).

Virginia Vassilevska Williams: Fast distance product of bounded difference matrices with applications to Language Edit Distance and RNA-Folding
Tuesday, April 11, 2017 - 4:00pm to 5:00pm
Abstract:  The distance product of two matrices A and B is the matrix C defined as C[i,j]=min_k A[i,k]+B[k,j].
Moni Naor: White-box vs. Black-box Search Problems: A Cryptographic Perspective
Tuesday, March 21, 2017 - 4:00pm to 5:00pm

Abstract:  Ramsey theory assures us that in any graph there is a clique or independent set of a certain size, roughly logarithmic in the graph size. But how difficult is it to find the clique or independent set?

Irit Dinur: Grassmann agreement testing and the 2:1 conjecture
Tuesday, March 14, 2017 - 4:00pm to 5:00pm

Abstract:  I will describe the notion of agreement testing, which allows to deduce global structure from local agreement checks.
In retrospect, agreement testing theorems are a key combinatorial component in nearly all PCPs.

Vasilis Syrgkanis: Oracle efficient Learning and Auction Design
Tuesday, February 28, 2017 - 4:00pm to 5:00pm
Abstract. We consider the design of online no-regret algorithms that are computationally efficient, given access to an offline optimization oracle.
Nikhil Bansal: A fast polynomial space algorithm for Subset Sum
Tuesday, March 7, 2017 - 4:00pm to 5:00pm
Abstract: I will describe an algorithm for the subset sum problem that
runs in 2^{0.86n} time and uses polynomial space. Previously, all
algorithms with running time less than 2^n used exponential space, and
obtaining such a guarantee was open. Our algorithm is based on Floyd's

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