activity
20122022
most citedQSGD: Communication-Efficient SGD via Gradient Quantization and Encoding

908 citations · 918 across the 17 of their papers we have counts for

collaborators

19 papers

math.OC2022

Dynamics and Inference for Voter Model Processes

Milan Vojnovic, Kaifang Zhou

We consider a discrete-time voter model process on a set of nodes, each being in one of two states, either 0 or 1. In each time step, each node adopts the state of a randomly sampl…

stat.ML2022

On Regret-optimal Cooperative Nonstochastic Multi-armed Bandits

Jialin Yi, Milan Vojnović

We consider the nonstochastic multi-agent multi-armed bandit problem with agents collaborating via a communication network with delays. We show a lower bound for individual regret…

cs.LG2022

Rotting Infinitely Many-armed Bandits

Jung-hun Kim, Milan Vojnovic, Se-Young Yun

We consider the infinitely many-armed bandit problem with rotting rewards, where the mean reward of an arm decreases at each pull of the arm according to an arbitrary trend with ma…

cs.LG2021★ 1 cited

Learning to Schedule in Parallel-Server Queues with Stochastic Bilinear Rewards

Jung-hun Kim, Milan Vojnovic

We consider the problem of scheduling in multi-class, parallel-server queuing systems with uncertain rewards from job-server assignments. In this scenario, jobs incur holding costs…

stat.ML2021★ 1 cited

Pure Exploration and Regret Minimization in Matching Bandits

Flore Sentenac, Jialin Yi, Clément Calauzènes +2

Finding an optimal matching in a weighted graph is a standard combinatorial problem. We consider its semi-bandit version where either a pair or a full matching is sampled sequentia…

cs.LG2021

Scheduling Jobs with Stochastic Holding Costs

Dabeen Lee, Milan Vojnovic

We study a single-server scheduling problem for the objective of minimizing the expected cumulative holding cost incurred by jobs, where parameters defining stochastic job holding…

cs.DS2020

Test Score Algorithms for Budgeted Stochastic Utility Maximization

Dabeen Lee, Milan Vojnovic, Se-Young Yun

Motivated by recent developments in designing algorithms based on individual item scores for solving utility maximization problems, we study the framework of using test scores, def…

cs.SI2020★ 2 cited

Popularity Prediction for Social Media over Arbitrary Time Horizons

Daniel Haimovich, Dima Karamshuk, Thomas J. Leeper +2

Predicting the popularity of social media content in real time requires approaches that efficiently operate at global scale. Popularity prediction is important for many application…

stat.ML2019

Accelerated MM Algorithms for Ranking Scores Inference from Comparison Data

Milan Vojnovic, Seyoung Yun, Kaifang Zhou

In this paper, we study a popular method for inference of the Bradley-Terry model parameters, namely the MM algorithm, for maximum likelihood estimation and maximum a posteriori pr…

cs.LG2018

KONG: Kernels for ordered-neighborhood graphs

Moez Draief, Konstantin Kutzkov, Kevin Scaman +1

We present novel graph kernels for graphs with node and edge labels that have ordered neighborhoods, i.e. when neighbor nodes follow an order. Graphs with ordered neighborhoods are…

math.ST2017

Parameter Estimation for Thurstone Choice Models

Milan Vojnovic, Se-Young Yun

We consider the estimation accuracy of individual strength parameters of a Thurstone choice model when each input observation consists of a choice of one item from a set of two or…

cs.DS2017

Communication complexity of approximate maximum matching in the message-passing model

Zengfeng Huang, Bozidar Radunovic, Milan Vojnovic +1

We consider the communication complexity of finding an approximate maximum matching in a graph in a multi-party message-passing communication model. The maximum matching problem is…

cs.AI2017

Adaptive Matching for Expert Systems with Uncertain Task Types

Virag Shah, Lennart Gulikers, Laurent Massoulie +1

A matching in a two-sided market often incurs an externality: a matched resource may become unavailable to the other side of the market, at least for a while. This is especially an…

cs.LG2016★ 908 cited

QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding

Dan Alistarh, Demjan Grubic, Jerry Li +2

Parallel implementations of stochastic gradient descent (SGD) have received significant research attention, thanks to excellent scalability properties of this algorithm, and to its…

cs.DS2016

Submodular Maximization using Test Scores

Shreyas Sekar, Milan Vojnovic, Se-Young Yun

We study the canonical problem of maximizing a stochastic submodular function subject to a cardinality constraint, where the goal is to select a subset from a ground set of items w…

cs.LG2014★ 2 cited

Spectral Ranking using Seriation

Fajwel Fogel, Alexandre d'Aspremont, Milan Vojnovic

We describe a seriation algorithm for ranking a set of items given pairwise comparisons between these items. Intuitively, the algorithm assigns similar rankings to items that compa…

cs.GT2013★ 1 cited

Incentives and Efficiency in Uncertain Collaborative Environments

Yoram Bachrach, Vasilis Syrgkanis, Milan Vojnovic

We consider collaborative systems where users make contributions across multiple available projects and are rewarded for their contributions in individual projects according to a l…

cs.GT2013★ 1 cited

Strong Price of Anarchy and Coalitional Dynamics

Yoram Bachrach, Vasilis Syrgkanis, Eva Tardos +1

We introduce a framework for studying the effect of cooperation on the quality of outcomes in utility games. Our framework is a coalitional analog of the smoothness framework of no…

cs.GT2012★ 2 cited

Bargaining Dynamics in Exchange Networks

Moez Draief, Milan Vojnovic

We consider a dynamical system for computing Nash bargaining solutions on graphs and focus on its rate of convergence. More precisely, we analyze the edge-balanced dynamical system…