Barnabs Pczos

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2002–2025

Best venue rank

Where they publish

Papers

88 indexed papers, newest first.

Year	Venue	Title	Authors
2025	ICLR	Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention.	Tongzhou Liao, Barnabs Pczos
2025	ICLR	Chemistry-Inspired Diffusion with Non-Differentiable Guidance.	Yuchen Shen, Chenhao Zhang, Sijie Fu, Chenghui Zhou, Newell Washburn, Barnabs Pczos
2023	EMNLP	The student becomes the master: Outperforming GPT3 on Scientific Factual Error Correction.	Dhananjay Ashok, Atharva Kulkarni, Hai Pham, Barnabs Pczos
2021	AAAI	Re-TACRED: Addressing Shortcomings of the TACRED Dataset.	George Stoica, Emmanouil Antonios Platanios, Barnabs Pczos
2021	NAACL	StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer.	Yiwei Lyu, Paul Pu Liang, Hai Pham, Eduard H. Hovy, Barnabs Pczos, Ruslan Salakhutdinov, Louis-Philippe Morency
2021	UAI	Unsupervised program synthesis for images by sampling without replacement.	Chenghui Zhou, Chun-Liang Li, Barnabs Pczos
2020	AAAI	Contextual Parameter Generation for Knowledge Graph Link Prediction.	George Stoica, Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabs Pczos
2020	ACL	Politeness Transfer: A Tag and Generate Approach.	Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabs Pczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye
2020	AISTATS	ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations.	Ksenia Korovina, Sailun Xu, Kirthevasan Kandasamy, Willie Neiswanger, Barnabs Pczos, Jeff Schneider, Eric P. Xing
2020	EMNLP	Efficient Meta Lifelong-Learning with Limited Memory.	Zirui Wang, Sanket Vaibhav Mehta, Barnabs Pczos, Jaime G. Carbonell
2020	ICFHR	Robust Handwriting Recognition with Limited and Noisy Data.	Hai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabs Pczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu
2020	ICLR	Minimizing FLOPs to Learn Efficient Sparse Representations.	Biswajit Paria, Chih-Kuan Yeh, Ian En-Hsu Yen, Ning Xu, Pradeep Ravikumar, Barnabs Pczos
2020	ICML	VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing.	Zoltn dm Milacski, Barnabs Pczos, Andrs Lrincz
2020	Interspeech	Nonlinear ISA with Auxiliary Variables for Learning Speech Representations.	Amrith Setlur, Barnabs Pczos, Alan W. Black
2019	AAAI	Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities.	Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabs Pczos
2019	AISTATS	Implicit Kernel Learning.	Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabs Pczos
2019	AISTATS	Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent.	Yifan Wu, Barnabs Pczos, Aarti Singh
2019	BMVC	Differentiable Unrolled Alternating Direction Method of Multipliers for OneNet.	Zoltn dm Milacski, Barnabs Pczos, Andrs Lorincz
2019	CVPR	LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds.	Chun-Liang Li, Tomas Simon, Jason M. Saragih, Barnabs Pczos, Yaser Sheikh
2019	CVPR	Characterizing and Avoiding Negative Transfer.	Zirui Wang, Zihang Dai, Barnabs Pczos, Jaime G. Carbonell
2019	ICLR	Kernel Change-point Detection with Auxiliary Deep Generative Models.	Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabs Pczos
2019	ICLR	Gradient Descent Provably Optimizes Over-parameterized Neural Networks.	Simon S. Du, Xiyu Zhai, Barnabs Pczos, Aarti Singh
2019	ICLR	Point Cloud GAN.	Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabs Pczos, Ruslan Salakhutdinov
2019	ICML	Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments.	Kirthevasan Kandasamy, Willie Neiswanger, Reed Zhang, Akshay Krishnamurthy, Jeff Schneider, Barnabs Pczos
2019	IJCNN	Group k-Sparse Temporal Convolutional Neural Networks: Unsupervised Pretraining for Video Classification.	Zoltn dm Milacski, Barnabs Pczos, Andrs Lrincz
2019	NAACL	Competence-based Curriculum Learning for Neural Machine Translation.	Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabs Pczos, Tom M. Mitchell
2019	UAI	A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations.	Biswajit Paria, Kirthevasan Kandasamy, Barnabs Pczos
2018	AISTATS	Parallelised Bayesian Optimisation via Thompson Sampling.	Kirthevasan Kandasamy, Akshay Krishnamurthy, Jeff Schneider, Barnabs Pczos
2018	AISTATS	A Generic Approach for Escaping Saddle points.	Sashank J. Reddi, Manzil Zaheer, Suvrit Sra, Barnabs Pczos, Francis R. Bach, Ruslan Salakhutdinov, Alexander J. Smola
2018	AISTATS	Minimax Reconstruction Risk of Convolutional Sparse Dictionary Learning.	Shashank Singh, Barnabs Pczos, Jian Ma
2018	BMVC	Classifier Two Sample Test for Video Anomaly Detections.	Yusha Liu, Chun-Liang Li, Barnabs Pczos
2018	ICML	Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima.	Simon S. Du, Jason D. Lee, Yuandong Tian, Aarti Singh, Barnabs Pczos
2018	ICML	Transformation Autoregressive Networks.	Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnabs Pczos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider
2018	IROS	Robust Plant Phenotyping via Model-Based Optimization.	Paloma Sodhi, Hanqi Sun, Barnabs Pczos, David Wettergreen
2018	MICCAI	Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector.	Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank C. Sciurba, Barnabs Pczos, Kayhan N. Batmanghelich
2017	AAAI	Enabling Dark Energy Science with Deep Generative Models of Galaxy Images.	Siamak Ravanbakhsh, Franois Lanusse, Rachel Mandelbaum, Jeff G. Schneider, Barnabs Pczos
2017	ICCV	One Network to Solve Them All - Solving Linear Inverse Problems Using Deep Projection Models.	Jen-Hao Rick Chang, Chun-Liang Li, Barnabs Pczos, B. V. K. Vijaya Kumar
2017	ICLR	Deep Learning with Sets and Point Clouds.	Siamak Ravanbakhsh, Jeff G. Schneider, Barnabs Pczos
2017	ICML	Nonparanormal Information Estimation.	Shashank Singh, Barnabs Pczos
2017	ICML	Multi-fidelity Bayesian Optimisation with Continuous Approximations.	Kirthevasan Kandasamy, Gautam Dasarathy, Jeff G. Schneider, Barnabs Pczos
2017	ICML	The Statistical Recurrent Unit.	Junier B. Oliva, Barnabs Pczos, Jeff G. Schneider
2017	ICML	Equivariance Through Parameter-Sharing.	Siamak Ravanbakhsh, Jeff G. Schneider, Barnabs Pczos
2017	IJCAI	Data-driven Random Fourier Features using Stein Effect.	Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabs Pczos
2017	UAI	Near-Orthogonality Regularization in Kernel Methods.	Pengtao Xie, Barnabs Pczos, Eric P. Xing
2017	SDM	BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals.	Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos E. Papalexakis, Partha P. Talukdar, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Barnabs Pczos
2016	AAAI	Linear-Time Learning on Distributions with Approximate Kernel Embeddings.	Danica J. Sutherland, Junier B. Oliva, Barnabs Pczos, Jeff G. Schneider
2016	AISTATS	High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models.	Chun-Liang Li, Kirthevasan Kandasamy, Barnabs Pczos, Jeff G. Schneider
2016	AISTATS	Bayesian Nonparametric Kernel-Learning.	Junier B. Oliva, Avinava Dubey, Andrew Gordon Wilson, Barnabs Pczos, Jeff G. Schneider, Eric P. Xing
2016	AISTATS	Stochastic Neural Networks with Monotonic Activation Functions.	Siamak Ravanbakhsh, Barnabs Pczos, Jeff G. Schneider, Dale Schuurmans, Russell Greiner
2016	ICML	Estimating Cosmological Parameters from the Dark Matter Distribution.	Siamak Ravanbakhsh, Junier B. Oliva, Sebastian Fromenteau, Layne Price, Shirley Ho, Jeff G. Schneider, Barnabs Pczos
2016	ICML	Boolean Matrix Factorization and Noisy Completion via Message Passing.	Siamak Ravanbakhsh, Barnabs Pczos, Russell Greiner
2016	ICML	Stochastic Variance Reduction for Nonconvex Optimization.	Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabs Pczos, Alexander J. Smola
2016	IJCAI	Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems.	Xuezhi Wang, Junier B. Oliva, Jeff G. Schneider, Barnabs Pczos
2016	IROS	Nonparametric distribution regression applied to sensor modeling.	Abhijeet Tallavajhula, Barnabs Pczos, Alonzo Kelly
2016	UAI	Utilize Old Coordinates: Faster Doubly Stochastic Gradients for Kernel Methods.	Chun-Liang Li, Barnabs Pczos
2015	AAAI	On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions.	Aaditya Ramdas, Sashank Jakkam Reddi, Barnabs Pczos, Aarti Singh, Larry A. Wasserman
2015	AAAI	Doubly Robust Covariate Shift Correction.	Sashank Jakkam Reddi, Barnabs Pczos, Alexander J. Smola
2015	AISTATS	Two-stage sampled learning theory on distributions.	Zoltn Szab, Arthur Gretton, Barnabs Pczos, Bharath K. Sriperumbudur
2015	AISTATS	On Estimating L22 Divergence.	Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabs Pczos, Larry A. Wasserman
2015	AISTATS	Fast Function to Function Regression.	Junier B. Oliva, Willie Neiswanger, Barnabs Pczos, Eric P. Xing, Hy Trac, Shirley Ho, Jeff G. Schneider
2015	AISTATS	On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives.	Sashank J. Reddi, Aaditya Ramdas, Barnabs Pczos, Aarti Singh, Larry A. Wasserman
2015	ICML	High Dimensional Bayesian Optimisation and Bandits via Additive Models.	Kirthevasan Kandasamy, Jeff G. Schneider, Barnabs Pczos
2015	IJCAI	Bayesian Active Learning for Posterior Estimation - IJCAI-15 Distinguished Paper.	Kirthevasan Kandasamy, Jeff G. Schneider, Barnabs Pczos
2015	UAI	Communication Efficient Coresets for Empirical Loss Minimization.	Sashank J. Reddi, Barnabs Pczos, Alexander J. Smola
2014	AISTATS	Fast Distribution To Real Regression.	Junier B. Oliva, Willie Neiswanger, Barnabs Pczos, Jeff G. Schneider, Eric P. Xing
2014	AISTATS	FuSSO: Functional Shrinkage and Selection Operator.	Junier B. Oliva, Barnabs Pczos, Timothy D. Verstynen, Aarti Singh, Jeff G. Schneider, Fang-Cheng Yeh, Wen-Yih Isaac Tseng
2014	AISTATS	An Analysis of Active Learning with Uniform Feature Noise.	Aaditya Ramdas, Barnabs Pczos, Aarti Singh, Larry A. Wasserman
2014	ICML	Nonparametric Estimation of Renyi Divergence and Friends.	Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabs Pczos, Larry A. Wasserman
2014	ICML	Generalized Exponential Concentration Inequality for Renyi Divergence Estimation.	Shashank Singh, Barnabs Pczos
2014	UAI	k-NN Regression on Functional Data with Incomplete Observations.	Sashank J. Reddi, Barnabs Pczos
2013	AISTATS	Distribution-Free Distribution Regression.	Barnabs Pczos, Aarti Singh, Alessandro Rinaldo, Larry A. Wasserman
2013	ICDM	Efficient Learning on Point Sets.	Liang Xiong, Barnabs Pczos, Jeff G. Schneider
2013	ICML	Distribution to Distribution Regression.	Junier B. Oliva, Barnabs Pczos, Jeff G. Schneider
2013	ICML	Scale Invariant Conditional Dependence Measures.	Sashank J. Reddi, Barnabs Pczos
2013	KDD	Active learning and search on low-rank matrices.	Danica J. Sutherland, Barnabs Pczos, Jeff G. Schneider
2012	CVPR	Nonparametric kernel estimators for image classification.	Barnabs Pczos, Liang Xiong, Danica J. Sutherland, Jeff G. Schneider
2012	ICML	Copula-based Kernel Dependency Measures.	Barnabs Pczos, Zoubin Ghahramani, Jeff G. Schneider
2011	CVPR	Online group-structured dictionary learning.	Zoltn Szab, Barnabs Pczos, Andrs Lrincz
2011	UAI	Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions.	Barnabs Pczos, Liang Xiong, Jeff G. Schneider
2010	AAAI	A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra.	Siamak (Moshen) Ravanbakhsh, Barnabs Pczos, Russell Greiner
2010	ICML	Budgeted Distribution Learning of Belief Net Parameters.	Liuyang Li, Barnabs Pczos, Csaba Szepesvri, Russell Greiner
2009	ICML	Learning when to stop thinking and do something!	Barnabs Pczos, Yasin Abbasi-Yadkori, Csaba Szepesvri, Russell Greiner, Nathan R. Sturtevant
2008	ICML	ICA and ISA using Schweizer-Wolff measure of dependence.	Sergey Kirshner, Barnabs Pczos
2007	ICANN	Post Nonlinear Independent Subspace Analysis.	Zoltn Szab, Barnabs Pczos, Gbor Szirtes, Andrs Lrincz
2005	ICANN	Independent Subspace Analysis Using	Barnabs Pczos, Andrs Lrincz
2005	ICML	Independent subspace analysis using geodesic spanning trees.	Barnabs Pczos, Andrs Lrincz
2004	IJCNN	Hidden Markov model finds behavioral patterns of users working with a headmouse driven writing tool.	Gyrgy Hvzi, Mihly Bicz, Barnabs Pczos, Zoltn Szab, Blint Takcs, Andrs Lrincz
2002	ECAI	Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms.	Botond Szatmry, Barnabs Pczos, Julian Eggert, Edgar Krner, Andrs Lrincz