Lav R. Varshney

research

∙ 07/15/2023

Transformers are Universal Predictors

We find limits to the Transformer architecture for language modeling and...

0 Sourya Basu, et al. ∙

research

∙ 05/17/2023

Equivariant Few-Shot Learning from Pretrained Models

Efficient transfer learning algorithms are key to the success of foundat...

2 Sourya Basu, et al. ∙

research

∙ 05/15/2023

Designing Discontinuities

Discontinuities can be fairly arbitrary but also cause a significant imp...

0 Ibtihal Ferwana, et al. ∙

research

∙ 01/28/2023

Learning Optimal Features via Partial Invariance

Learning models that are robust to test-time distribution shifts is a ke...

0 Moulik Choraria, et al. ∙

research

∙ 10/13/2022

Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models

We introduce equi-tuning, a novel fine-tuning method that transforms (po...

5 Sourya Basu, et al. ∙

research

∙ 08/13/2022

Optimal Recovery for Causal Inference

It is crucial to successfully quantify causal effects of a policy interv...

0 Ibtihal Ferwana, et al. ∙

research

∙ 08/08/2022

Debiased Large Language Models Still Associate Muslims with Uniquely Violent Acts

Recent work demonstrates a bias in the GPT-3 model towards generating vi...

0 Babak Hemmatian, et al. ∙

research

∙ 04/11/2022

Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers

Concrete is the most widely used engineered material in the world with m...

0 Xiou Ge, et al. ∙

research

∙ 04/06/2022

Hypergraph-based Source Codes for Function Computation Under Maximal Distortion

This work investigates functional source coding problems with maximal di...

0 Sourya Basu, et al. ∙

research

∙ 01/14/2022

Learning from One and Only One Shot

Humans can generalize from only a few examples and from little pre-train...

0 Haizi Yu, et al. ∙

research

∙ 12/17/2021

Balancing Fairness and Robustness via Partial Invariance

The Invariant Risk Minimization (IRM) framework aims to learn invariant ...

0 Moulik Choraria, et al. ∙

research

∙ 09/03/2021

Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering

This paper presents a quantized Kalman filter implemented using unreliab...

0 Jonathan Kern, et al. ∙

research

∙ 07/20/2021

Limits of Detecting Extraterrestrial Civilizations

The search for extraterrestrial intelligence (SETI) is a scientific ende...

0 Ian George, et al. ∙

research

∙ 06/07/2021

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

Evaluating the inherent difficulty of a given data-driven classification...

0 Ryan Theisen, et al. ∙

research

∙ 04/10/2021

Group Equivariant Neural Architecture Search via Group Decomposition and Reinforcement Learning

Recent works show that including group equivariance as an inductive bias...

0 Sourya Basu, et al. ∙

research

∙ 03/22/2021

Wireless Network Coding with Intelligent Reflecting Surfaces

Conventional wireless techniques are becoming inadequate for beyond fift...

0 Amanat Kafizov, et al. ∙

research

∙ 01/13/2021

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

Wireless power transfer (WPT) is an emerging paradigm that will enable u...

0 Bruno Clerckx, et al. ∙

research

∙ 12/10/2020

Adversarial Linear Contextual Bandits with Graph-Structured Side Observations

This paper studies the adversarial graphical contextual bandits, a varia...

6 Lingda Wang, et al. ∙

research

∙ 12/07/2020

GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning

Disparate access to resources by different subpopulations is a prevalent...

0 Govardana Sachithanandam Ramachandran, et al. ∙

research

∙ 11/08/2020

The Twelvefold Way of Non-Sequential Lossless Compression

Many information sources are not just sequences of distinguishable symbo...

0 Taha Ameen ur Rahman, et al. ∙

research

∙ 10/14/2020

Explaining Creative Artifacts

Human creativity is often described as the mental process of combining a...

0 Lav R. Varshney, et al. ∙

research

∙ 10/08/2020

Nonstationary Reinforcement Learning with Linear Function Approximation

We consider reinforcement learning (RL) in episodic Markov decision proc...

0 Huozhi Zhou, et al. ∙

research

∙ 09/17/2020

Planting trees at the right places: Recommending suitable sites for growing trees using algorithm fusion

Large-scale planting of trees has been proposed as a low-cost natural so...

0 Pushpendra Rana, et al. ∙

research

∙ 09/05/2020

Respect for Human Autonomy in Recommender Systems

Recommender systems can influence human behavior in significant ways, in...

0 Lav R. Varshney, et al. ∙

research

∙ 07/29/2020

Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm

Neural text decoding is important for generating high-quality texts usin...

0 Sourya Basu, et al. ∙

research

∙ 06/26/2020

BERTology Meets Biology: Interpreting Attention in Protein Language Models

Transformer architectures have proven to learn useful representations fo...

0 Jesse Vig, et al. ∙

research

∙ 05/31/2020

Quantization Games on Social Networks and Language Evolution

We consider a strategic network quantizer design setting where agents mu...

0 Ankur Mani, et al. ∙

research

∙ 05/12/2020

A Difficulty in Controlling Blockchain Mining Costs via Cryptopuzzle Difficulty

Blockchain systems often employ proof-of-work consensus protocols to val...

0 Venkata Sriram Siddhardh Nadendla, et al. ∙

research

∙ 04/30/2020

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

Morphological inflection is a process of word formation where base words...

0 Samson Tan, et al. ∙

research

∙ 04/15/2020

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

Interpretability of machine learning models has gained more and more att...

20 Haizi Yu, et al. ∙

research

∙ 03/05/2020

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

Interests in the automatic generation of cooking recipes have been growi...

0 Helena H. Lee, et al. ∙

research

∙ 02/09/2020

Limits of Detecting Text Generated by Large-Scale Language Models

Some consider large-scale language models that can generate long and coh...

0 Lav R. Varshney, et al. ∙

research

∙ 01/12/2020

Finite-Sample Analysis of Image Registration

We study the problem of image registration in the finite-resolution regi...

0 Ravi Kiran Raman, et al. ∙

research

∙ 01/11/2020

A Game-Theoretic Approach to a Task Delegation Problem

We study a setting in which a principal selects an agent to execute a co...

0 Donya G. Dobakhshari, et al. ∙

research

∙ 12/27/2019

Social Learning with Beliefs in a Parallel Network

Consider a social learning problem in a parallel network, where N distri...

0 Daewon Seo, et al. ∙

research

∙ 11/01/2019

Short and Wide Network Paths

Network flow is a powerful mathematical framework to systematically expl...

19 Lavanya Marla, et al. ∙

research

∙ 10/23/2019

On the Bee-Identification Error Exponent with Absentee Bees

The "bee-identification problem" was formally defined by Tandon, Tan and...

0 Anshoo Tandon, et al. ∙

research

∙ 10/18/2019

Functional Epsilon Entropy

We consider the problem of coding for computing with maximal distortion,...

0 Sourya Basu, et al. ∙

research

∙ 10/03/2019

Orbit Computation for Atomically Generated Subgroups of Isometries of Z^n

Isometries and their induced symmetries are ubiquitous in the world. Tak...

0 Haizi Yu, et al. ∙

research

∙ 09/17/2019

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

Consumption of diets with low glycemic impact is highly recommended for ...

0 Helena Lee, et al. ∙

research

∙ 09/12/2019

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

Cascading bandit (CB) is a variant of both the multi-armed bandit (MAB) ...

0 Lingda Wang, et al. ∙

research

∙ 09/11/2019

CTRL: A Conditional Transformer Language Model for Controllable Generation

Large-scale language models show promising text generation capabilities,...

0 Nitish Shirish Keskar, et al. ∙

research

∙ 09/10/2019

Boosting Classifiers with Noisy Inference

We present a principled framework to address resource allocation for rea...

25 Yongjune Kim, et al. ∙

research

∙ 09/07/2019

Pretrained AI Models: Performativity, Mobility, and Change

The paradigm of pretrained deep learning models has recently emerged in ...

0 Lav R. Varshney, et al. ∙

research

∙ 08/27/2019

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

We investigate the piecewise-stationary combinatorial semi-bandit proble...

0 Huozhi Zhou, et al. ∙

research

∙ 08/12/2019

Classes of Full-Duplex Channels with Capacity Achieved Without Adaptation

Full-duplex communication allows a terminal to transmit and receive sign...

0 Daewon Seo, et al. ∙

research

∙ 05/30/2019

On Multiple-Access Systems with Queue-Length Dependent Service Quality

It is commonly observed that higher workload lowers job performance. We ...

0 Daewon Seo, et al. ∙

research

∙ 05/20/2019

Accelerated Discovery of Sustainable Building Materials

Concrete is the most widely used engineered material in the world with m...

0 Xiou Ge, et al. ∙

research

∙ 05/20/2019

Error Exponent Bounds for the Bee-Identification Problem

Consider the problem of identifying a massive number of bees, uniquely l...

0 Anshoo Tandon, et al. ∙

research

∙ 05/09/2019

Limits of Deepfake Detection: A Robust Estimation Viewpoint

Deepfake detection is formulated as a hypothesis testing problem to clas...

0 Sakshi Agarwal, et al. ∙

Lav R. Varshney

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