22 citations · 63 across the 17 of their papers we have counts for
20 papers
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
JoonHo Lee, Jae Oh Woo, Juree Seok +11
Assessing response quality to instructions in language models is vital but challenging due to the complexity of human language across different contexts. This complexity often resu…
Learning Payment-Free Resource Allocation Mechanisms
Sihan Zeng, Sujay Bhatt, Eleonora Kreacic +3
We consider the design of mechanisms that allocate limited resources among self-interested agents using neural networks. Unlike the recent works that leverage machine learning for…
Sequential Fair Resource Allocation under a Markov Decision Process Framework
Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng +2
We study the sequential decision-making problem of allocating a limited resource to agents that reveal their stochastic demands on arrival over a finite horizon. Our goal is to des…
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems
Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh +4
Communication is important in many multi-agent reinforcement learning (MARL) problems for agents to share information and make good decisions. However, when deploying trained commu…
Generative Models with Information-Theoretic Protection Against Membership Inference Attacks
Parisa Hassanzadeh, Robert E. Tillman
Deep generative models, such as Generative Adversarial Networks (GANs), synthesize diverse high-fidelity data samples by estimating the underlying distribution of high dimensional…
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction
Marc Rigter, Danial Dervovic, Parisa Hassanzadeh +3
We consider a novel queuing problem where the decision-maker must choose to accept or reject randomly arriving tasks into a no buffer queue which are processed by identical ser…
Tradeoffs in Streaming Binary Classification under Limited Inspection Resources
Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa +2
Institutions are increasingly relying on machine learning models to identify and alert on abnormal events, such as fraud, cyber attacks and system failures. These alerts often need…
Non-Parametric Stochastic Sequential Assignment With Random Arrival Times
Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa +1
We consider a problem wherein jobs arrive at random times and assume random values. Upon each job arrival, the decision-maker must decide immediately whether or not to accept the j…
Multi-point Coordination in Massive MIMO Systems with Sectorized Antennas
Shahram Shahsavari, Mehrdad Nosrati, Parisa Hassanzadeh +3
Non-cooperative cellular massive MIMO, combined with power control, is known to lead to significant improvements in per-user throughput compared with conventional LTE technology. I…
Centralized Caching and Delivery of Correlated Contents over Gaussian Broadcast Channels
Qianqian Yang, Parisa Hassanzadeh, Deniz Gündüz +1
Content delivery in a multi-user cache-aided broadcast network is studied, where a server holding a database of correlated contents communicates with the users over a Gaussian broa…
Rate-Distortion-Memory Trade-offs in Heterogeneous Caching Networks
Parisa Hassanzadeh, Antonia M. Tulino, Jaime Llorca +1
Caching at the wireless edge can be used to keep up with the increasing demand for high-definition wireless video streaming. By prefetching popular content into memory at wireless…
Rate-Memory Trade-Off for Caching and Delivery of Correlated Sources
Parisa Hassanzadeh, Antonia M. Tulino, Jaime Llorca +1
This paper studies the fundamental limits of content delivery in a cache-aided broadcast network for correlated content generated by a discrete memoryless source with arbitrary joi…
On Coding for Cache-Aided Delivery of Dynamic Correlated Content
Parisa Hassanzadeh, Antonia M. Tulino, Jaime Llorca +1
Cache-aided coded multicast leverages side information at wireless edge caches to efficiently serve multiple unicast demands via common multicast transmissions, leading to load red…
Centralized Caching and Delivery of Correlated Contents over a Gaussian Broadcast Channel
Qianqian Yang, Parisa Hassanzadeh, Deniz Gündüz +1
Content delivery in a multi-user cache-aided broadcast network is studied, where a server holding a database of correlated contents communicates with the users over a Gaussian broa…
Broadcast Caching Networks with Two Receivers and Multiple Correlated Sources
Parisa Hassanzadeh, Antonia M. Tulino, Jaime Llorca +1
The correlation among the content distributed across a cache-aided broadcast network can be exploited to reduce the delivery load on the shared wireless link. This paper considers…
Sectoring in Multi-cell Massive MIMO Systems
Shahram Shahsavari, Parisa Hassanzadeh, Alexei Ashikhmin +1
In this paper, the downlink of a typical massive MIMO system is studied when each base station is composed of three antenna arrays with directional antenna elements serving 120 deg…
Rate-Memory Trade-off for the Two-User Broadcast Caching Network with Correlated Sources
Parisa Hassanzadeh, Antonia Tulino, Jaime Llorca +1
This paper studies the fundamental limits of caching in a network with two receivers and two files generated by a two-component discrete memoryless source with arbitrary joint dist…
Correlation-Aware Distributed Caching and Coded Delivery
Parisa Hassanzadeh, Antonia Tulino, Jaime Llorca +1
Cache-aided coded multicast leverages side information at wireless edge caches to efficiently serve multiple groupcast demands via common multicast transmissions, leading to load r…
Cache-Aided Coded Multicast for Correlated Sources
Parisa Hassanzadeh, Antonia Tulino, Jaime Llorca +1
The combination of edge caching and coded multicasting is a promising approach to improve the efficiency of content delivery over cache-aided networks. The global caching gain resu…
Distortion-Memory Tradeoffs in Cache-Aided Wireless Video Delivery
P. Hassanzadeh, E. Erkip, J. Llorca +1
Mobile network operators are considering caching as one of the strategies to keep up with the increasing demand for high-definition wireless video streaming. By prefetching popular…