Volodymyr Kuleshov

CoRR, 2024

Simple and Effective Masked Diffusion Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors.

[BibT_eX]

[DOI]

Top Piriyakulkij

Yingheng Wang

CoRR, 2024

QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems.

[BibT_eX]

[DOI]

Leonardo Zepeda-Núñez

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Common Canvas: Open Diffusion Models Trained on Creative-Commons Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Online Calibrated and Conformal Prediction Improves Bayesian Optimization.

[BibT_eX]

[DOI]

Charles Marx

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Diffusion Models With Learned Adaptive Noise.

[BibT_eX]

[DOI]

CoRR, 2023

Active Preference Inference using Language Models and Probabilistic Reasoning.

[BibT_eX]

[DOI]

Top Piriyakulkij

Jacqueline R. M. A. Maasch

Kevin Ellis

CoRR, 2023

Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs.

[BibT_eX]

[DOI]

CoRR, 2023

CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images.

[BibT_eX]

[DOI]

CoRR, 2023

ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers.

[BibT_eX]

[DOI]

CoRR, 2023

Calibrated Propensity Scores for Causal Effect Estimation.

[BibT_eX]

[DOI]

CoRR, 2023

Online Calibrated Regression for Adversarially Robust Forecasting.

[BibT_eX]

[DOI]

Jacqueline R. M. A. Maasch

CoRR, 2023

QuIP: 2-Bit Quantization of Large Language Models With Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Backpropagation through Combinatorial Algorithms: Identity with Projection Works.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Semi-Parametric Inducing Point Networks and Neural Processes.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Text Embeddings Reveal (Almost) As Much As Text.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Harnessing Biomedical Literature to Calibrate Clinicians' Trust in AI Decision Support Systems.

[BibT_eX]

[DOI]

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Regularized Data Programming with Bayesian Priors.

[BibT_eX]

[DOI]

CoRR, 2022

Energy Flows: Towards Determinant-Free Training of Normalizing Flows.

[BibT_eX]

[DOI]

Phillip Si

CoRR, 2022

Gradient Backpropagation Through Combinatorial Algorithms: Identity with Projection Works.

[BibT_eX]

[DOI]

CoRR, 2022

Semi-Parametric Deep Neural Networks in Linear Time and Memory.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Modal Causal Inference with Deep Structural Equation Models.

[BibT_eX]

[DOI]

Zheng Li

CoRR, 2022

Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Autoregressive Quantile Flows for Predictive Uncertainty Estimation.

[BibT_eX]

[DOI]

Phillip Si

Allan Bishop

Proceedings of the Tenth International Conference on Learning Representations, 2022

Model Criticism for Long-Form Text Generation.

[BibT_eX]

[DOI]

Yuntian Deng

Alexander M. Rush

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Calibrated and Sharp Uncertainties in Deep Learning via Simple Density Estimation.

[BibT_eX]

[DOI]

CoRR, 2021

Quantifying and Understanding Adversarial Examples in Discrete Input Spaces.

[BibT_eX]

[DOI]

CoRR, 2021

Calibration Improves Bayesian Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure.

[BibT_eX]

[DOI]

CoRR, 2021

2019

Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Calibrated Model-Based Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Fast Metagenomic Binning via Hashing and Bayesian Clustering.

[BibT_eX]

[DOI]

J. Comput. Biol., 2018

Learning with Weak Supervision from Physics and Data-Driven Constraints.

[BibT_eX]

[DOI]

AI Mag., 2018

Adversarial Constraint Learning for Structured Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Accurate Uncertainties for Deep Learning Using Calibrated Regression.

[BibT_eX]

[DOI]

Nathan Fenner

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Intelligent systems for personalized genomic medicine.

[BibT_eX]

[DOI]

PhD thesis, 2017

Hybrid Deep Discriminative/Generative Models for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

GATTACA: Lightweight Metagenomic Binning Using Kmer Counting.

[BibT_eX]

[DOI]

Proceedings of the Research in Computational Molecular Biology, 2017

Neural Variational Inference and Learning in Undirected Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Audio Super-Resolution using Neural Networks.

[BibT_eX]

[DOI]

S. Zayd Enam

Proceedings of the 5th International Conference on Learning Representations, 2017

Estimating Uncertainty Online Against an Adversary.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Reliable Confidence Estimation via Online Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Genome assembly from synthetic long read clouds.

[BibT_eX]

[DOI]

Michael P. Snyder

Serafim Batzoglou

Bioinform., 2016

2015

Simultaneous diagonalization: the asymmetric, low-rank, and noisy settings.

[BibT_eX]

[DOI]

Arun Tejasvi Chaganty

Percy Liang

CoRR, 2015

Inverse Game Theory: Learning Utilities in Succinct Games.

[BibT_eX]

[DOI]

Okke Schrijvers

Proceedings of the Web and Internet Economics - 11th International Conference, 2015

Calibrated Structured Prediction.

[BibT_eX]

[DOI]

Percy Liang

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Tensor Factorization via Matrix Factorization.

[BibT_eX]

[DOI]

Arun Tejasvi Chaganty

Percy Liang

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Algorithms for multi-armed bandit problems.

[BibT_eX]

[DOI]

Doina Precup

CoRR, 2014

Probabilistic single-individual haplotyping.

[BibT_eX]

[DOI]

Bioinform., 2014

2013

Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

On the Efficiency of the Simplest Pricing Mechanisms in Two-Sided Markets.

[BibT_eX]

[DOI]

Gordon T. Wilfong

Proceedings of the Internet and Network Economics - 8th International Workshop, 2012

2010

On the Efficiency of Markets with Two-Sided Proportional Allocation Mechanisms.

[BibT_eX]

[DOI]