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Balancing Fairness and Robustness via Partial Invariance

Dec 24, 2021
Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney

* Accepted at the Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) Workshop, NeurIPS 2021 

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Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering

Sep 03, 2021
Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau

* 29 pages, 8 figures, Submitted to IEEE Transactions on Signal Processing 

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Evaluating State-of-the-Art Classification Models Against Bayes Optimality

Jun 07, 2021
Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher

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Group Equivariant Neural Architecture Search via Group Decomposition and Reinforcement Learning

Apr 10, 2021
Sourya Basu, Akshayaa Magesh, Harshit Yadav, Lav R. Varshney

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Wireless Network Coding with Intelligent Reflecting Surfaces

Mar 22, 2021
Amanat Kafizov, Ahmed Elzanaty, Lav R. Varshney, Mohamed-Slim Alouini

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Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing

Jan 13, 2021
Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini

* Overview paper submitted for publication 

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Adversarial Linear Contextual Bandits with Graph-Structured Side Observations

Dec 28, 2020
Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao

* Accepted by AAAI2021 

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GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning

Dec 07, 2020
Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong

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Nonstationary Reinforcement Learning with Linear Function Approximation

Oct 15, 2020
Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan

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Explaining Creative Artifacts

Oct 14, 2020
Lav R. Varshney, Nazneen Fatema Rajani, Richard Socher

* 2020 Workshop on Human Interpretability in Machine Learning (WHI), at ICML 2020 

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Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm

Jul 29, 2020
Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney

* 18 pages, 8 figures 

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BERTology Meets Biology: Interpreting Attention in Protein Language Models

Jul 13, 2020
Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani

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Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding

Apr 30, 2020
Samson Tan, Shafiq Joty, Lav R. Varshney, Min-Yen Kan

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Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge

Apr 15, 2020
Haizi Yu, Heinrich Taube, James A. Evans, Lav R. Varshney

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RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System

Mar 05, 2020
Helena H. Lee, Ke Shu, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney

* Accepted to WWW 2020. Demo track paper 

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Limits of Detecting Text Generated by Large-Scale Language Models

Feb 09, 2020
Lav R. Varshney, Nitish Shirish Keskar, Richard Socher

* ITA 2020 

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Short and Wide Network Paths

Nov 01, 2019
Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale

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Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits

Oct 07, 2019
Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao

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CTRL: A Conditional Transformer Language Model for Controllable Generation

Sep 20, 2019
Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher

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Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning

Sep 17, 2019
Helena Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney

* To appear in the Proceedings of Digital Public Health 2019 as short paper 

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Boosting Classifiers with Noisy Inference

Sep 10, 2019
Yongjune Kim, Yuval Cassuto, Lav R. Varshney

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Pretrained AI Models: Performativity, Mobility, and Change

Sep 07, 2019
Lav R. Varshney, Nitish Shirish Keskar, Richard Socher

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A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits

Aug 29, 2019
Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim

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Accelerated Discovery of Sustainable Building Materials

May 20, 2019
Xiou Ge, Richard T. Goodwin, Jeremy R. Gregory, Randolph E. Kirchain, Joana Maria, Lav R. Varshney

* Presented at AAAI 2019 Spring Symposium, Towards AI for Collaborative Open Science (TACOS) 

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