
ENOS: EnergyAware Network Operator Search for Hybrid Digital and ComputeinMemory DNN Accelerators
This work proposes a novel EnergyAware Network Operator Search (ENOS) a...
read it

ChoiceAware User Engagement Modeling andOptimization on Social Media
We address the problem of maximizing user engagement with content (in th...
read it

Probabilistic Localization of InsectScale Drones on FloatingGate Inverter Arrays
We propose a novel computeinmemory (CIM)based ultralowpower framewo...
read it

OffPolicy Optimization of Portfolio Allocation Policies under Constraints
The dynamic portfolio optimization problem in finance frequently require...
read it

KATRec: Knowledge Aware aTtentive Sequential Recommendations
Sequential recommendation systems model dynamic preferences of users bas...
read it

Deep Reinforcement Learning for Crowdsourced Urban Delivery: System States Characterization, Heuristicsguided Action Choice, and RuleInterposing Integration
This paper investigates the problem of assigning shipping requests to ad...
read it

Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit
We consider a dynamic assortment selection problem where the goal is to ...
read it

Learning by Repetition: Stochastic Multiarmed Bandits under Priming Effect
We study the effect of persistence of engagement on learning in a stocha...
read it

MultiPurchase Behavior: Modeling and Optimization
We study the problem of modeling purchase of multiple items and utilizin...
read it

Optimizing Revenue while showing Relevant Assortments at Scale
Scalable realtime assortment optimization has become essential in ecom...
read it

Incentivising Exploration and Recommendations for Contextual Bandits with Payments
We propose a contextual bandit based model to capture the learning and s...
read it

SupportedBinaryNet: Bitcell Arraybased Weight Supports for Dynamic AccuracyLatency Tradeoffs in SRAMbased Binarized Neural Network
In this work, we introduce bitcell arraybased support parameters to imp...
read it

Thompson Sampling for a Fatigueaware Online Recommendation System
In this paper we consider an online recommendation setting, where a plat...
read it

Bandits with Temporal Stochastic Constraints
We study the effect of impairment on stochastic multiarmed bandits and ...
read it

BlockStructure Based TimeSeries Models For Graph Sequences
Although the computational and statistical tradeoff for modeling single...
read it

An Online Algorithm for Learning Buyer Behavior under Realistic Pricing Restrictions
We propose a new efficient online algorithm to learn the parameters gove...
read it

Privacypreserving Targeted Advertising
Recommendation systems form the center piece of a rapidly growing trilli...
read it

Symmetry Learning for Function Approximation in Reinforcement Learning
In this paper we explore methods to exploit symmetries for ensuring samp...
read it

Efficient Reinforcement Learning via Initial Pure Exploration
In several realistic situations, an interactive learning agent can pract...
read it

Provable Inductive Robust PCA via Iterative Hard Thresholding
The robust PCA problem, wherein, given an input data matrix that is the ...
read it

Learning Personalized Optimal Control for Repeatedly Operated Systems
We consider the problem of online learning of optimal control for repeat...
read it

Robust Optimization using Machine Learning for Uncertainty Sets
Our goal is to build robust optimization problems for making decisions b...
read it

Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side Knowledge
In this paper, we consider a supervised learning setting where side know...
read it

Machine Learning with Operational Costs
This work proposes a way to align statistical modeling with decision mak...
read it

On Combining Machine Learning with Decision Making
We present a new application and covering number bound for the framework...
read it
Theja Tulabandhula
is this you? claim profile