Devdatt Dubhashi

2022

Analysis of Knowledge Transfer in Kernel Regime

2022

Synthetic Sweden Mobility (SySMo) Model Documentation

2022

Do Kernel and Neural Embeddings Help in Training and Generalization?

2022

Controlling gene expression with deep generative design of regulatory DNA

2021

Thompson Sampling for Bandits with Clustered Arms

AI futures

2021

Learning Approximate and Exact Numeral Systems via Reinforcement Learning

Mathematical Models for COVID-19 Pandemic: A Comparative Analysis

Accelerated proximal incremental algorithm schemes for non-strongly convex functions

2020

A reinforcement-learning approach to efficient communication

A Non-Convex Optimization Approach to Correlation Clustering

2019

Bayesian optimization in ab initio nuclear physics

2018

DeepColor: Reinforcement Learning optimizes information efficiency and well-formedness in color name partitioning

Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery

Thompson Sampling for Stochastic Bandits with Graph Feedback

AI Dangers: Imagined and Real

Weighted theta functions and embeddings with applications to Max-Cut, clustering and summarization

Extractive summarization by aggregating multiple similarities

Classifying large graphs with differential privacy

Neural context embeddings for automatic discovery of word senses

Learning with similarity functions on graphs using matchings of geometric embeddings

Visions and open challenges for a knowledge-based culturomics

Federated clouds for biomedical research: Integrating OpenStack for ICTBioMed

2014

Global graph kernels using geometric embeddings

Extractive Summarization using Continuous Vector Space Models

Mining semantics for culturomics: towards a knowledge-based approach

2013

DLOREAN: Dynamic Location-aware Reconstruction of multiway Networks

Lovasz theta function, SVMs and Finding Dense Subgraphs

Computational approaches for reconstruction of time-varying biological networks from omics data

Lovasz θ, SVMs and applications

Entity disambiguation in anonymized graphs using graph kernels

The Lovász v function, SVMs and finding large dense subgraphs

The IncP-1 plasmid backbone adapts to different host bacterial species and evolves through homologous recombination.

2011

NETGEM: Network Embedded Temporal GEnerative Model for gene expression data

Scalable multi-dimensional user intent identification using tree structured distributions

Adaptive Dynamics of Realistic Small-World Networks

2009

Bridging the gap between systems biology and medicine

A note on conditioning and stochastic domination for order statistics

positiv influence and negative dependence

Localized techniques for broadcasting in wireless sensor networks.

Distributed approximation algorithms via LP-duality and randomization

Blue pleiades, a new solution for device discovery and scatternet formation in multi-hop bluetooth networks

Probabilistic analysis for a multiple depot vehicle routing problem

Randomization in Constraint Programming for Airline Planning

Distributed Approximation Algorithms via Randomization

A New Order Estimator for Fixed and Variable Length Markov Models with Applications to DNA Sequence Similarity

Bayesian classifiers for detecting HGT using fixed and variable order Markov models of genomic signatures

Irrigating ad hoc networks in constant time

Fast distributed algorithms for (weakly) connected dominating sets and linear-size skeletons

Probabilistic Analysis for a Multiple Depot Vehicle Routing Problem.

The Peres-Shields Order Estimator for Fixed and Variable Length Markov Models with Applications to DNA Sequence Similarity.

Fast distributed algorithms for (weakly) connected dominating sets and linear-size skeletons

Connectivity Properties of Bluetooth Wireless Networks

Analysis and Experimental Evaluation of a Simple Algorithm for Collaborative Filtering in Planted Partition Models