research
∙
09/20/2023
Dynamic Tiling: A Model-Agnostic, Adaptive, Scalable, and Inference-Data-Centric Approach for Efficient and Accurate Small Object Detection
We introduce Dynamic Tiling, a model-agnostic, adaptive, and scalable ap...
share
research
∙
09/20/2023
Conformalized Multimodal Uncertainty Regression and Reasoning
This paper introduces a lightweight uncertainty estimator capable of pre...
research
∙
09/20/2023
STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy
Complex sensors such as LiDAR, RADAR, and event cameras have proliferate...
research
∙
09/18/2023
Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge
In the expanding landscape of AI-enabled robotics, robust quantification...
research
∙
08/27/2023
Generative AI for Business Strategy: Using Foundation Models to Create Business Strategy Tools
Generative models (foundation models) such as LLMs (large language model...
research
∙
03/03/2023
Lightweight, Uncertainty-Aware Conformalized Visual Odometry
Data-driven visual odometry (VO) is a critical subroutine for autonomous...
research
∙
10/27/2022
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies
We present a novel monocular localization framework by jointly training ...
research
∙
07/05/2022
Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder
Graph theoretical analyses have become standard tools in modeling functi...
research
∙
04/25/2022
AI Personification: Estimating the Personality of Language Models
Technology for open-ended language generation, a key application of arti...
research
∙
04/12/2021
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators
This work proposes a novel Energy-Aware Network Operator Search (ENOS) a...
research
∙
04/01/2021
Choice-Aware User Engagement Modeling andOptimization on Social Media
We address the problem of maximizing user engagement with content (in th...
research
∙
02/16/2021
Probabilistic Localization of Insect-Scale Drones on Floating-Gate Inverter Arrays
We propose a novel compute-in-memory (CIM)-based ultra-low-power framewo...
research
∙
12/21/2020
Off-Policy Optimization of Portfolio Allocation Policies under Constraints
The dynamic portfolio optimization problem in finance frequently require...
research
∙
12/06/2020
KATRec: Knowledge Aware aTtentive Sequential Recommendations
Sequential recommendation systems model dynamic preferences of users bas...
research
∙
11/29/2020
Deep Reinforcement Learning for Crowdsourced Urban Delivery: System States Characterization, Heuristics-guided Action Choice, and Rule-Interposing Integration
This paper investigates the problem of assigning shipping requests to ad...
research
∙
11/28/2020
Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit
We consider a dynamic assortment selection problem where the goal is to ...
research
∙
06/18/2020
Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect
We study the effect of persistence of engagement on learning in a stocha...
research
∙
06/14/2020
Multi-Purchase Behavior: Modeling and Optimization
We study the problem of modeling purchase of multiple items and utilizin...
research
∙
03/06/2020
Optimizing Revenue while showing Relevant Assortments at Scale
Scalable real-time assortment optimization has become essential in e-com...
research
∙
01/22/2020
Incentivising Exploration and Recommendations for Contextual Bandits with Payments
We propose a contextual bandit based model to capture the learning and s...
research
∙
11/19/2019
Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network
In this work, we introduce bitcell array-based support parameters to imp...
research
∙
01/23/2019
Thompson Sampling for a Fatigue-aware Online Recommendation System
In this paper we consider an online recommendation setting, where a plat...
research
∙
11/22/2018
Bandits with Temporal Stochastic Constraints
We study the effect of impairment on stochastic multi-armed bandits and ...
research
∙
04/24/2018
Block-Structure Based Time-Series Models For Graph Sequences
Although the computational and statistical trade-off for modeling single...
research
∙
03/06/2018
An Online Algorithm for Learning Buyer Behavior under Realistic Pricing Restrictions
We propose a new efficient online algorithm to learn the parameters gove...
research
∙
10/09/2017
Privacy-preserving Targeted Advertising
Recommendation systems form the center piece of a rapidly growing trilli...
research
∙
06/09/2017
Symmetry Learning for Function Approximation in Reinforcement Learning
In this paper we explore methods to exploit symmetries for ensuring samp...
research
∙
06/07/2017
Efficient Reinforcement Learning via Initial Pure Exploration
In several realistic situations, an interactive learning agent can pract...
research
∙
04/02/2017
Provable Inductive Robust PCA via Iterative Hard Thresholding
The robust PCA problem, wherein, given an input data matrix that is the ...
research
∙
09/18/2016
Learning Personalized Optimal Control for Repeatedly Operated Systems
We consider the problem of online learning of optimal control for repeat...
research
∙
07/04/2014
Robust Optimization using Machine Learning for Uncertainty Sets
Our goal is to build robust optimization problems for making decisions b...
research
∙
05/30/2014
Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side Knowledge
In this paper, we consider a supervised learning setting where side know...
research
∙
12/03/2011
Machine Learning with Operational Costs
This work proposes a way to align statistical modeling with decision mak...
research
∙
04/27/2011