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๐Ÿ” arjun radhakrishna ๐Ÿ“‚ Computer Science
Showing 20 results for "arjun radhakrishna" in Computer Science
Computer Science Preprint PDF DOI

Enhancing Productivity in Database Management Through AI: A Three-Phase Approach for Database

Kushagra Parashar, Ajay Dev, Aditya Kumar, Darpan Khatri ยท 2025

This paper presents a novel AI-powered framework designed to streamline database management and query optimization for PostgreSQL systems. Structured in three phases: Natural Language to SQL Translatiโ€ฆ

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Bounded-Depth Frege Lower Bounds for Random 3-CNFs via Deterministic Restrictions

Svyatoslav Gryaznov, Navid Talebanfard ยท 2024

A major open problem in proof complexity is to demonstrate that random 3-CNFs with a linear number of clauses require super-polynomial size refutations in bounded-depth Frege systems. We take the firsโ€ฆ

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New upper bounds for $(b,k)$-hashing

Stefano Della Fiore, Simone Costa, Marco Dalai ยท 2021

For fixed integers $b\geq k$, the problem of perfect $(b,k)$-hashing asks for the asymptotic growth of largest subsets of $\{1,2,\ldots,b\}^n$ such that for any $k$ distinct elements in the set, thereโ€ฆ

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A Direct Product Theorem for One-Way Quantum Communication

Rahul Jain, Srijita Kundu ยท 2020

We prove a direct product theorem for the one-way entanglement-assisted quantum communication complexity of a general relation $f\subseteq\mathcal{X}\times\mathcal{Y}\times\mathcal{Z}$. For any $\vareโ€ฆ

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An Improved Scheme in the Two Query Adaptive Bitprobe Model

Mirza Galib Anwarul Husain Baig, Deepanjan Kesh, Chirag Sodani ยท 2018

In this paper, we look into the adaptive bitprobe model that stores subsets of size at most four from a universe of size m, and answers membership queries using two bitprobes. We propose a scheme thatโ€ฆ

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A Two Query Adaptive Bitprobe Scheme Storing Five Elements

Mirza Galib Anwarul Husain Baig, Deepanjan Kesh, Chirag Sodani ยท 2018

We are studying the adaptive bitprobe model to store an arbitrary subset S of size at most five from a universe U of size m and answer the membership queries of the form "Is x in S?" in two bitprobes.โ€ฆ

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Quadratically Tight Relations for Randomized Query Complexity

Dmitry Gavinsky, Rahul Jain, Hartmut Klauck, Srijita Kundu, Troy Lee, Miklos Santha, Swagato Sanyal, Jevgenijs Vihrovs ยท 2017

Let $f:\{0,1\}^n \rightarrow \{0,1\}$ be a Boolean function. The certificate complexity $C(f)$ is a complexity measure that is quadratically tight for the zero-error randomized query complexity $R_0(fโ€ฆ

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Set membership with non-adaptive bit probes

Mohit Garg, Jaikumar Radhakrishnan ยท 2016

We consider the non-adaptive bit-probe complexity of the set membership problem, where a set S of size at most n from a universe of size m is to be represented as a short bit vector in order to answerโ€ฆ

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Hypergraph Two-Coloring in the Streaming Model

Jaikumar Radhakrishnan, Saswata Shannigrahi, Rakesh Venkat ยท 2015

We consider space-efficient algorithms for two-coloring $n$-uniform hypergraphs $H=(V,E)$ in the streaming model, when the hyperedges arrive one at a time. It is known that any such hypergraph with atโ€ฆ

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Near-optimal bounds on bounded-round quantum communication complexity of disjointness

Mark Braverman, Ankit Garg, Young Kun Ko, Jieming Mao, Dave Touchette ยท 2015

We prove a near optimal round-communication tradeoff for the two-party quantum communication complexity of disjointness. For protocols with $r$ rounds, we prove a lower bound of $\tilde{\Omega}(n/r + โ€ฆ

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The Range of Topological Effects on Communication

Arkadev Chattopadhyay, Atri Rudra ยท 2015

We continue the study of communication cost of computing functions when inputs are distributed among $k$ processors, each of which is located at one vertex of a network/graph called a terminal. Every โ€ฆ

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Set Membership with a Few Bit Probes

Mohit Garg, Jaikumar Radhakrishnan ยท 2015

We consider the bit-probe complexity of the set membership problem, where a set S of size at most n from a universe of size m is to be represented as a short bit vector in order to answer membership qโ€ฆ

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A Sampling Technique of Proving Lower Bounds for Noisy Computations

Chinmoy Dutta, Jaikumar Radhakrishnan ยท 2015

We present a technique of proving lower bounds for noisy computations. This is achieved by a theorem connecting computations on a kind of randomized decision trees and sampling based algorithms. This โ€ฆ

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How Hard is Computing Parity with Noisy Communications?

Chinmoy Dutta, Yashodhan Kanoria, D. Manjunath, Jaikumar Radhakrishnan ยท 2015

We show a tight lower bound of $\Omega(N \log\log N)$ on the number of transmissions required to compute the parity of $N$ input bits with constant error in a noisy communication network of $N$ randomโ€ฆ

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Cramer-Rao Lower Bound and Information Geometry

Frank Nielsen ยท 2013

This article focuses on an important piece of work of the world renowned Indian statistician, Calyampudi Radhakrishna Rao. In 1945, C. R. Rao (25 years old then) published a pathbreaking paper, which โ€ฆ

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Secure & Rapid Composition of Infrastructure Services in the Cloud

Pierre de Leusse, Panos Periorellis, Paul Watson, Andreas Maierhofer ยท 2012

A fundamental ambition of grid and distributed systems is to be capable of sustaining evolution and allowing for adaptability ((F. Losavio et al., 2002), (S. Radhakrishnan, 2005)). Furthermore, as theโ€ฆ

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Pseudo-random graphs and bit probe schemes with one-sided error

Andrei Romashchenko ยท 2011

We study probabilistic bit-probe schemes for the membership problem. Given a set A of at most n elements from the universe of size m we organize such a structure that queries of type "Is x in A?" can โ€ฆ

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Tight Bounds for Lp Samplers, Finding Duplicates in Streams, and Related Problems

Hossein Jowhari, Mert Saglam, Gabor Tardos ยท 2010

In this paper, we present near-optimal space bounds for Lp-samplers. Given a stream of updates (additions and subtraction) to the coordinates of an underlying vector x \in R^n, a perfect Lp sampler ouโ€ฆ

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Expressiveness and Closure Properties for Quantitative Languages

Krishnendu Chatterjee (IST Austria), Laurent Doyen (CNRS France), Thomas A Henzinger (IST Austria, EPFL Switzerland) ยท 2010

Weighted automata are nondeterministic automata with numerical weights on transitions. They can define quantitative languages~$L$ that assign to each word~$w$ a real number~$L(w)$. In the case of infiโ€ฆ

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Information Cost Tradeoffs for Augmented Index and Streaming Language Recognition

Amit Chakrabarti, Graham Cormode, Ranganath Kondapally, Andrew McGregor ยท 2010

This paper makes three main contributions to the theory of communication complexity and stream computation. First, we present new bounds on the information complexity of AUGMENTED-INDEX. In contrast tโ€ฆ

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