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07/15/2023
Transformers are Universal Predictors
We find limits to the Transformer architecture for language modeling and...
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05/17/2023
Equivariant Few-Shot Learning from Pretrained Models
Efficient transfer learning algorithms are key to the success of foundat...
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05/15/2023
Designing Discontinuities
Discontinuities can be fairly arbitrary but also cause a significant imp...
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01/28/2023
Learning Optimal Features via Partial Invariance
Learning models that are robust to test-time distribution shifts is a ke...
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10/13/2022
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
We introduce equi-tuning, a novel fine-tuning method that transforms (po...
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08/13/2022
Optimal Recovery for Causal Inference
It is crucial to successfully quantify causal effects of a policy interv...
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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...
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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...
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04/06/2022
Hypergraph-based Source Codes for Function Computation Under Maximal Distortion
This work investigates functional source coding problems with maximal di...
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01/14/2022
Learning from One and Only One Shot
Humans can generalize from only a few examples and from little pre-train...
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12/17/2021
Balancing Fairness and Robustness via Partial Invariance
The Invariant Risk Minimization (IRM) framework aims to learn invariant ...
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09/03/2021
Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering
This paper presents a quantized Kalman filter implemented using unreliab...
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07/20/2021
Limits of Detecting Extraterrestrial Civilizations
The search for extraterrestrial intelligence (SETI) is a scientific ende...
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06/07/2021
Evaluating State-of-the-Art Classification Models Against Bayes Optimality
Evaluating the inherent difficulty of a given data-driven classification...
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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...
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03/22/2021
Wireless Network Coding with Intelligent Reflecting Surfaces
Conventional wireless techniques are becoming inadequate for beyond fift...
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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...
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12/10/2020
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
This paper studies the adversarial graphical contextual bandits, a varia...
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12/07/2020
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning
Disparate access to resources by different subpopulations is a prevalent...
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11/08/2020
The Twelvefold Way of Non-Sequential Lossless Compression
Many information sources are not just sequences of distinguishable symbo...
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10/14/2020
Explaining Creative Artifacts
Human creativity is often described as the mental process of combining a...
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10/08/2020
Nonstationary Reinforcement Learning with Linear Function Approximation
We consider reinforcement learning (RL) in episodic Markov decision proc...
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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...
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09/05/2020
Respect for Human Autonomy in Recommender Systems
Recommender systems can influence human behavior in significant ways, in...
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07/29/2020
Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm
Neural text decoding is important for generating high-quality texts usin...
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06/26/2020
BERTology Meets Biology: Interpreting Attention in Protein Language Models
Transformer architectures have proven to learn useful representations fo...
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05/31/2020
Quantization Games on Social Networks and Language Evolution
We consider a strategic network quantizer design setting where agents mu...
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05/12/2020
A Difficulty in Controlling Blockchain Mining Costs via Cryptopuzzle Difficulty
Blockchain systems often employ proof-of-work consensus protocols to val...
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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...
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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...
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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...
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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...
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01/12/2020
Finite-Sample Analysis of Image Registration
We study the problem of image registration in the finite-resolution regi...
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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...
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12/27/2019
Social Learning with Beliefs in a Parallel Network
Consider a social learning problem in a parallel network, where N distri...
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11/01/2019
Short and Wide Network Paths
Network flow is a powerful mathematical framework to systematically expl...
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10/23/2019
On the Bee-Identification Error Exponent with Absentee Bees
The "bee-identification problem" was formally defined by Tandon, Tan and...
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10/18/2019
Functional Epsilon Entropy
We consider the problem of coding for computing with maximal distortion,...
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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...
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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 ...
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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) ...
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09/11/2019
CTRL: A Conditional Transformer Language Model for Controllable Generation
Large-scale language models show promising text generation capabilities,...
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09/10/2019
Boosting Classifiers with Noisy Inference
We present a principled framework to address resource allocation for rea...
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09/07/2019
Pretrained AI Models: Performativity, Mobility, and Change
The paradigm of pretrained deep learning models has recently emerged in ...
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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...
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08/12/2019
Classes of Full-Duplex Channels with Capacity Achieved Without Adaptation
Full-duplex communication allows a terminal to transmit and receive sign...
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05/30/2019
On Multiple-Access Systems with Queue-Length Dependent Service Quality
It is commonly observed that higher workload lowers job performance. We ...
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05/20/2019
Accelerated Discovery of Sustainable Building Materials
Concrete is the most widely used engineered material in the world with m...
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05/20/2019
Error Exponent Bounds for the Bee-Identification Problem
Consider the problem of identifying a massive number of bees, uniquely l...
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05/09/2019