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Opening Remarks
Manzil Zaheer · Nicholas Monath · Ari Kobren · Junier Oliva · Barnabas Poczos · Ruslan Salakhutdinov · Andrew McCallum
Author Information
Manzil Zaheer (Google)
Nicholas Monath (University of Massachusetts Amherst)
Ari Kobren (UMass Amherst)
Junier Oliva (UNC - Chapel Hill)
Barnabas Poczos (Carnegie Mellon University)
Ruslan Salakhutdinov (Carnegie Mellon University)
Andrew McCallum (UMass Amherst)
More from the Same Authors
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2021 : MultiBench: Multiscale Benchmarks for Multimodal Representation Learning »
Paul Pu Liang · Yiwei Lyu · Xiang Fan · Zetian Wu · Yun Cheng · Jason Wu · Leslie (Yufan) Chen · Peter Wu · Michelle A. Lee · Yuke Zhu · Ruslan Salakhutdinov · Louis-Philippe Morency -
2021 : CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example »
Sheshera Mysore · Tim O'Gorman · Andrew McCallum · Hamed Zamani -
2022 : Differentially Private Adaptive Optimization with Delayed Preconditioners »
Tian Li · Manzil Zaheer · Ken Liu · Sashank Reddi · H. Brendan McMahan · Virginia Smith -
2022 : Differentially Private Adaptive Optimization with Delayed Preconditioners »
Tian Li · Manzil Zaheer · Ken Liu · Sashank Reddi · H. Brendan McMahan · Virginia Smith -
2022 : Improving Molecule Properties Through 2-Stage VAE »
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2022 : Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective »
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2022 : MultiViz: Towards Visualizing and Understanding Multimodal Models »
Paul Pu Liang · · Gunjan Chhablani · Nihal Jain · Zihao Deng · Xingbo Wang · Louis-Philippe Morency · Ruslan Salakhutdinov -
2022 : Nano: Nested Human-in-the-Loop Reward Learning for Controlling Distribution of Generated Text »
Xiang Fan · · Paul Pu Liang · Ruslan Salakhutdinov · Louis-Philippe Morency -
2022 Poster: Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks »
Minji Yoon · John Palowitch · Dustin Zelle · Ziniu Hu · Ruslan Salakhutdinov · Bryan Perozzi -
2022 Poster: Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings »
Dongxu Zhang · Michael Boratko · Cameron Musco · Andrew McCallum -
2022 Poster: A Fourier Approach to Mixture Learning »
Mingda Qiao · Guru Guruganesh · Ankit Rawat · Kumar Avinava Dubey · Manzil Zaheer -
2022 Poster: Learning to Navigate Wikipedia by Taking Random Walks »
Manzil Zaheer · Kenneth Marino · Will Grathwohl · John Schultz · Wendy Shang · Sheila Babayan · Arun Ahuja · Ishita Dasgupta · Christine Kaeser-Chen · Rob Fergus -
2022 Poster: Structured Energy Network As a Loss »
Jay Yoon Lee · Dhruvesh Patel · Purujit Goyal · Wenlong Zhao · Zhiyang Xu · Andrew McCallum -
2021 Poster: No Regrets for Learning the Prior in Bandits »
Soumya Basu · Branislav Kveton · Manzil Zaheer · Csaba Szepesvari -
2021 Poster: Capacity and Bias of Learned Geometric Embeddings for Directed Graphs »
Michael Boratko · Dongxu Zhang · Nicholas Monath · Luke Vilnis · Kenneth L Clarkson · Andrew McCallum -
2021 : Diamond: A MineRL Competition on Training Sample-Efficient Agents + Q&A »
William Guss · Alara Dirik · Byron Galbraith · Brandon Houghton · Anssi Kanervisto · Noboru Kuno · Stephanie Milani · Sharada Mohanty · Karolis Ramanauskas · Ruslan Salakhutdinov · Rohin Shah · Nicholay Topin · Steven Wang · Cody Wild -
2021 Poster: Arbitrary Conditional Distributions with Energy »
Ryan Strauss · Junier Oliva -
2020 : Panel Discussion & Closing »
Yejin Choi · Alexei Efros · Chelsea Finn · Kristen Grauman · Quoc V Le · Yann LeCun · Ruslan Salakhutdinov · Eric Xing -
2020 : QA: Ruslan Salakhutdinov »
Ruslan Salakhutdinov -
2020 : Invited Talk: Ruslan Salakhutdinov »
Ruslan Salakhutdinov -
2020 Poster: Exchangeable Neural ODE for Set Modeling »
Yang Li · Haidong Yi · Christopher Bender · Siyuan Shan · Junier Oliva -
2020 Poster: PLLay: Efficient Topological Layer based on Persistent Landscapes »
Kwangho Kim · Jisu Kim · Manzil Zaheer · Joon Kim · Frederic Chazal · Larry Wasserman -
2020 Poster: Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction »
Mariya Toneva · Otilia Stretcu · Barnabas Poczos · Leila Wehbe · Tom Mitchell -
2020 Poster: Meta-Neighborhoods »
Siyuan Shan · Yang Li · Junier Oliva -
2020 Poster: Differentiable Meta-Learning of Bandit Policies »
Craig Boutilier · Chih-wei Hsu · Branislav Kveton · Martin Mladenov · Csaba Szepesvari · Manzil Zaheer -
2020 Poster: Latent Bandits Revisited »
Joey Hong · Branislav Kveton · Manzil Zaheer · Yinlam Chow · Amr Ahmed · Craig Boutilier -
2020 Poster: Robust large-margin learning in hyperbolic space »
Melanie Weber · Manzil Zaheer · Ankit Singh Rawat · Aditya Menon · Sanjiv Kumar -
2020 Poster: Robust Density Estimation under Besov IPM Losses »
Ananya Uppal · Shashank Singh · Barnabas Poczos -
2020 Poster: Improving Local Identifiability in Probabilistic Box Embeddings »
Shib Dasgupta · Michael Boratko · Dongxu Zhang · Luke Vilnis · Xiang Li · Andrew McCallum -
2020 Spotlight: Robust Density Estimation under Besov IPM Losses »
Ananya Uppal · Shashank Singh · Barnabas Poczos -
2020 Poster: Big Bird: Transformers for Longer Sequences »
Manzil Zaheer · Guru Guruganesh · Kumar Avinava Dubey · Joshua Ainslie · Chris Alberti · Santiago Ontanon · Philip Pham · Anirudh Ravula · Qifan Wang · Li Yang · Amr Ahmed -
2019 : Contributed Session - Spotlight Talks »
Jonathan Frankle · David Schwab · Ari Morcos · Qianli Ma · Yao-Hung Hubert Tsai · Ruslan Salakhutdinov · YiDing Jiang · Dilip Krishnan · Hossein Mobahi · Samy Bengio · Sho Yaida · Muqiao Yang -
2019 : Coffee Break & Poster Session 2 »
Juho Lee · Yoonho Lee · Yee Whye Teh · Raymond A. Yeh · Yuan-Ting Hu · Alex Schwing · Sara Ahmadian · Alessandro Epasto · Marina Knittel · Ravi Kumar · Mohammad Mahdian · Christian Bueno · Aditya Sanghi · Pradeep Kumar Jayaraman · Ignacio Arroyo-Fernández · Andrew Hryniowski · Vinayak Mathur · Sanjay Singh · Shahrzad Haddadan · Vasco Portilheiro · Luna Zhang · Mert Yuksekgonul · Jhosimar Arias Figueroa · Deepak Maurya · Balaraman Ravindran · Frank NIELSEN · Philip Pham · Justin Payan · Andrew McCallum · Jinesh Mehta · Ke SUN -
2019 : Poster Presentations »
Rahul Mehta · Andrew Lampinen · Binghong Chen · Sergio Pascual-Diaz · Jordi Grau-Moya · Aldo Faisal · Jonathan Tompson · Yiren Lu · Khimya Khetarpal · Martin Klissarov · Pierre-Luc Bacon · Doina Precup · Thanard Kurutach · Aviv Tamar · Pieter Abbeel · Jinke He · Maximilian Igl · Shimon Whiteson · Wendelin Boehmer · Raphaël Marinier · Olivier Pietquin · Karol Hausman · Sergey Levine · Chelsea Finn · Tianhe Yu · Lisa Lee · Benjamin Eysenbach · Emilio Parisotto · Eric Xing · Ruslan Salakhutdinov · Hongyu Ren · Anima Anandkumar · Deepak Pathak · Christopher Lu · Trevor Darrell · Alexei Efros · Phillip Isola · Feng Liu · Bo Han · Gang Niu · Masashi Sugiyama · Saurabh Kumar · Janith Petangoda · Johan Ferret · James McClelland · Kara Liu · Animesh Garg · Robert Lange -
2019 : Lunch Break and Posters »
Xingyou Song · Elad Hoffer · Wei-Cheng Chang · Jeremy Cohen · Jyoti Islam · Yaniv Blumenfeld · Andreas Madsen · Jonathan Frankle · Sebastian Goldt · Satrajit Chatterjee · Abhishek Panigrahi · Alex Renda · Brian Bartoldson · Israel Birhane · Aristide Baratin · Niladri Chatterji · Roman Novak · Jessica Forde · YiDing Jiang · Yilun Du · Linara Adilova · Michael Kamp · Berry Weinstein · Itay Hubara · Tal Ben-Nun · Torsten Hoefler · Daniel Soudry · Hsiang-Fu Yu · Kai Zhong · Yiming Yang · Inderjit Dhillon · Jaime Carbonell · Yanqing Zhang · Dar Gilboa · Johannes Brandstetter · Alexander R Johansen · Gintare Karolina Dziugaite · Raghav Somani · Ari Morcos · Freddie Kalaitzis · Hanie Sedghi · Lechao Xiao · John Zech · Muqiao Yang · Simran Kaur · Qianli Ma · Yao-Hung Hubert Tsai · Ruslan Salakhutdinov · Sho Yaida · Zachary Lipton · Daniel Roy · Michael Carbin · Florent Krzakala · Lenka Zdeborová · Guy Gur-Ari · Ethan Dyer · Dilip Krishnan · Hossein Mobahi · Samy Bengio · Behnam Neyshabur · Praneeth Netrapalli · Kris Sankaran · Julien Cornebise · Yoshua Bengio · Vincent Michalski · Samira Ebrahimi Kahou · Md Rifat Arefin · Jiri Hron · Jaehoon Lee · Jascha Sohl-Dickstein · Samuel Schoenholz · David Schwab · Dongyu Li · Sang Keun Choe · Henning Petzka · Ashish Verma · Zhichao Lin · Cristian Sminchisescu -
2019 : Coffee Break & Poster Session 1 »
Yan Zhang · Jonathon Hare · Adam Prugel-Bennett · Po Leung · Patrick Flaherty · Pitchaya Wiratchotisatian · Alessandro Epasto · Silvio Lattanzi · Sergei Vassilvitskii · Morteza Zadimoghaddam · Theja Tulabandhula · Fabian Fuchs · Adam Kosiorek · Ingmar Posner · William Hang · Anna Goldie · Sujith Ravi · Azalia Mirhoseini · Yuwen Xiong · Mengye Ren · Renjie Liao · Raquel Urtasun · Haici Zhang · Michele Borassi · Shengda Luo · Andrew Trapp · Geoffroy Dubourg-Felonneau · Yasmeen Kussad · Christopher Bender · Manzil Zaheer · Junier Oliva · Michał Stypułkowski · Maciej Zieba · Austin Dill · Chun-Liang Li · Songwei Ge · Eunsu Kang · Oiwi Parker Jones · Kelvin Ka Wing Wong · Joshua Payne · Yang Li · Azade Nazi · Erkut Erdem · Aykut Erdem · Kevin O'Connor · Juan J Garcia · Maciej Zamorski · Jan Chorowski · Deeksha Sinha · Harry Clifford · John W Cassidy -
2019 Workshop: Sets and Partitions »
Nicholas Monath · Manzil Zaheer · Andrew McCallum · Ari Kobren · Junier Oliva · Barnabas Poczos · Ruslan Salakhutdinov -
2019 : Poster Session »
Rishav Chourasia · Yichong Xu · Corinna Cortes · Chien-Yi Chang · Yoshihiro Nagano · So Yeon Min · Benedikt Boecking · Phi Vu Tran · Kamyar Ghasemipour · Qianggang Ding · Shouvik Mani · Vikram Voleti · Rasool Fakoor · Miao Xu · Kenneth Marino · Lisa Lee · Volker Tresp · Jean-Francois Kagy · Marvin Zhang · Barnabas Poczos · Dinesh Khandelwal · Adrien Bardes · Evan Shelhamer · Jiacheng Zhu · Ziming Li · Xiaoyan Li · Dmitrii Krasheninnikov · Ruohan Wang · Mayoore Jaiswal · Emad Barsoum · Suvansh Sanjeev · Theeraphol Wattanavekin · Qizhe Xie · Sifan Wu · Yuki Yoshida · David Kanaa · Sina Khoshfetrat Pakazad · Mehdi Maasoumy -
2019 : Andrew McCallum: Learning DAGs and Trees with Box Embeddings and Hyperbolic Embeddings »
Andrew McCallum -
2019 Workshop: Learning with Rich Experience: Integration of Learning Paradigms »
Zhiting Hu · Andrew Wilson · Chelsea Finn · Lisa Lee · Taylor Berg-Kirkpatrick · Ruslan Salakhutdinov · Eric Xing -
2019 Poster: Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses »
Ananya Uppal · Shashank Singh · Barnabas Poczos -
2019 Poster: Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks »
Amirmohammad Rooshenas · Dongxu Zhang · Gopal Sharma · Andrew McCallum -
2019 Poster: Offline Contextual Bandits with High Probability Fairness Guarantees »
Blossom Metevier · Stephen Giguere · Sarah Brockman · Ari Kobren · Yuriy Brun · Emma Brunskill · Philip Thomas -
2019 Oral: Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses »
Ananya Uppal · Shashank Singh · Barnabas Poczos -
2019 Poster: Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels »
Simon Du · Kangcheng Hou · Russ Salakhutdinov · Barnabas Poczos · Ruosong Wang · Keyulu Xu -
2019 Poster: Meta-Curvature »
Eunbyung Park · Junier Oliva -
2019 Poster: Learning Local Search Heuristics for Boolean Satisfiability »
Emre Yolcu · Barnabas Poczos -
2018 Poster: Compact Representation of Uncertainty in Clustering »
Craig Greenberg · Nicholas Monath · Ari Kobren · Patrick Flaherty · Andrew McGregor · Andrew McCallum -
2018 Poster: Nonparametric Density Estimation under Adversarial Losses »
Shashank Singh · Ananya Uppal · Boyue Li · Chun-Liang Li · Manzil Zaheer · Barnabas Poczos -
2018 Poster: Adaptive Methods for Nonconvex Optimization »
Manzil Zaheer · Sashank Reddi · Devendra S Sachan · Satyen Kale · Sanjiv Kumar -
2018 Poster: Neural Architecture Search with Bayesian Optimisation and Optimal Transport »
Kirthevasan Kandasamy · Willie Neiswanger · Jeff Schneider · Barnabas Poczos · Eric Xing -
2018 Spotlight: Neural Architecture Search with Bayesian Optimisation and Optimal Transport »
Kirthevasan Kandasamy · Willie Neiswanger · Jeff Schneider · Barnabas Poczos · Eric Xing -
2017 : Deep Kernel Learning »
Ruslan Salakhutdinov -
2017 : Invited Talk: "Light Supervision of Structured Prediction Energy Networks" »
Andrew McCallum -
2017 : Distribution Regression and its Applications. »
Barnabas Poczos -
2017 : Poster Session - Session 2 »
Ambrish Rawat · Armand Joulin · Peter A Jansen · Jay Yoon Lee · Muhao Chen · Frank F. Xu · Patrick Verga · Brendan Juba · Anca Dumitrache · Sharmistha Jat · Robert Logan · Dhanya Sridhar · Fan Yang · Rajarshi Das · Pouya Pezeshkpour · Nicholas Monath -
2017 Oral: Deep Sets »
Manzil Zaheer · Satwik Kottur · Siamak Ravanbakhsh · Barnabas Poczos · Ruslan Salakhutdinov · Alexander Smola -
2017 Poster: Hypothesis Transfer Learning via Transformation Functions »
Simon Du · Jayanth Koushik · Aarti Singh · Barnabas Poczos -
2017 Poster: MMD GAN: Towards Deeper Understanding of Moment Matching Network »
Chun-Liang Li · Wei-Cheng Chang · Yu Cheng · Yiming Yang · Barnabas Poczos -
2017 Poster: Deep Sets »
Manzil Zaheer · Satwik Kottur · Siamak Ravanbakhsh · Barnabas Poczos · Ruslan Salakhutdinov · Alexander Smola -
2017 Poster: Good Semi-supervised Learning That Requires a Bad GAN »
Zihang Dai · Zhilin Yang · Fan Yang · William Cohen · Ruslan Salakhutdinov -
2017 Poster: Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples »
Haw-Shiuan Chang · Erik Learned-Miller · Andrew McCallum -
2017 Poster: Gradient Descent Can Take Exponential Time to Escape Saddle Points »
Simon Du · Chi Jin · Jason D Lee · Michael Jordan · Aarti Singh · Barnabas Poczos -
2017 Spotlight: Gradient Descent Can Take Exponential Time to Escape Saddle Points »
Simon Du · Chi Jin · Jason D Lee · Michael Jordan · Aarti Singh · Barnabas Poczos -
2016 Poster: Variance Reduction in Stochastic Gradient Langevin Dynamics »
Kumar Avinava Dubey · Sashank J. Reddi · Sinead Williamson · Barnabas Poczos · Alexander Smola · Eric Xing -
2016 Poster: The Multi-fidelity Multi-armed Bandit »
Kirthevasan Kandasamy · Gautam Dasarathy · Barnabas Poczos · Jeff Schneider -
2016 Poster: Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators »
Shashank Singh · Barnabas Poczos -
2016 Poster: Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization »
Sashank J. Reddi · Suvrit Sra · Barnabas Poczos · Alexander Smola -
2016 Poster: Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations »
Kirthevasan Kandasamy · Gautam Dasarathy · Junier B Oliva · Jeff Schneider · Barnabas Poczos -
2016 Poster: Efficient Nonparametric Smoothness Estimation »
Shashank Singh · Simon Du · Barnabas Poczos -
2015 Poster: Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations »
Kirthevasan Kandasamy · Akshay Krishnamurthy · Barnabas Poczos · Larry Wasserman · james m robins -
2015 Poster: On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants »
Sashank J. Reddi · Ahmed Hefny · Suvrit Sra · Barnabas Poczos · Alexander Smola -
2014 Workshop: 4th Workshop on Automated Knowledge Base Construction (AKBC) »
Sameer Singh · Fabian M Suchanek · Sebastian Riedel · Partha Pratim Talukdar · Kevin Murphy · Christopher Ré · William Cohen · Tom Mitchell · Andrew McCallum · Jason E Weston · Ramanathan Guha · Boyan Onyshkevych · Hoifung Poon · Oren Etzioni · Ari Kobren · Arvind Neelakantan · Peter Clark -
2014 Poster: Exponential Concentration of a Density Functional Estimator »
Shashank Singh · Barnabas Poczos -
2012 Poster: MAP Inference in Chains using Column Generation »
David Belanger · Alexandre T Passos · Sebastian Riedel · Andrew McCallum -
2011 Workshop: Big Learning: Algorithms, Systems, and Tools for Learning at Scale »
Joseph E Gonzalez · Sameer Singh · Graham Taylor · James Bergstra · Alice Zheng · Misha Bilenko · Yucheng Low · Yoshua Bengio · Michael Franklin · Carlos Guestrin · Andrew McCallum · Alexander Smola · Michael Jordan · Sugato Basu -
2011 Poster: Query-Aware MCMC »
Michael Wick · Andrew McCallum -
2011 Poster: Group Anomaly Detection using Flexible Genre Models »
Liang Xiong · Barnabas Poczos · Jeff Schneider -
2010 Poster: Estimation of Renyi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs »
David Pal · Barnabas Poczos · Csaba Szepesvari -
2009 Poster: FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs »
Andrew McCallum · Karl Schultz · Sameer Singh -
2009 Poster: Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference »
Michael Wick · Khashayar Rohanimanesh · Sameer Singh · Andrew McCallum -
2009 Spotlight: Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference »
Michael Wick · Khashayar Rohanimanesh · Sameer Singh · Andrew McCallum -
2009 Poster: Rethinking LDA: Why Priors Matter »
Hanna Wallach · David Mimno · Andrew McCallum -
2009 Spotlight: Rethinking LDA: Why Priors Matter »
Hanna Wallach · David Mimno · Andrew McCallum