Christopher R
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
153
Venues
33
Active years
2003–2025
Best venue rank
A*
Where they publish
- A*ICML30 papers
- A*SIGMOD26 papers
- A*ICLR25 papers
- A*ICDE9 papers
- A*ACL7 papers
- ACIDR7 papers
- A*PODS7 papers
- AICDT5 papers
- AAISTATS4 papers
- A*AAAI3 papers
- NationalAMIA3 papers
- AUAI2 papers
- AMICCAI2 papers
- ANAACL2 papers
- A*SODA2 papers
- A*VLDB2 papers
- A*CVPR1 paper
- AWACV1 paper
- A*COLT1 paper
- A*EMNLP1 paper
- A*ICALP1 paper
- A*ICCV1 paper
- A*KDD1 paper
- NationalPSB1 paper
- A*IJCAI1 paper
- A*ISCA1 paper
- AICWSM1 paper
- BEDBT1 paper
- BILP1 paper
- A*ICDM1 paper
- ACIKM1 paper
- ASIGCSE1 paper
- A*WWW1 paper
Papers
153 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation. | Hermann Kumbong, Xian Liu, Tsung-Yi Lin, Ming-Yu Liu, Xihui Liu, Ziwei Liu, Daniel Y. Fu, Christopher R, David W. Romero |
| 2025 | ICLR | Aioli: A Unified Optimization Framework for Language Model Data Mixing. | Mayee F. Chen, Michael Y. Hu, Nicholas Lourie, Kyunghyun Cho, Christopher R |
| 2025 | ICLR | Restructuring Vector Quantization with the Rotation Trick. | Christopher Fifty, Ronald Guenther Junkins, Dennis Duan, Aniketh Iyengar, Jerry Weihong Liu, Ehsan Amid, Sebastian Thrun, Christopher R |
| 2025 | ICLR | Scaling Laws for Precision. | Tanishq Kumar, Zachary Ankner, Benjamin Frederick Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher R, Aditi Raghunathan |
| 2025 | ICLR | Towards Learning High-Precision Least Squares Algorithms with Sequence Models. | Jerry Weihong Liu, Jessica Grogan, Owen M. Dugan, Ashish Rao, Simran Arora, Atri Rudra, Christopher R |
| 2025 | ICLR | ThunderKittens: Simple, Fast, and Adorable Kernels. | Benjamin Frederick Spector, Simran Arora, Aaryan Singhal, Arjun Parthasarathy, Daniel Y. Fu, Christopher R |
| 2025 | ICLR | Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data. | Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez, Ethan Steinberg, Jason Alan Fries, Christopher R, Sanmi Koyejo, Nigam Shah |
| 2025 | ICLR | LoLCATs: On Low-Rank Linearizing of Large Language Models. | Michael Zhang, Simran Arora, Rahul Chalamala, Benjamin Frederick Spector, Alan Wu, Krithik Ramesh, Aaryan Singhal, Christopher R |
| 2025 | ICML | Cost-efficient Collaboration between On-device and Cloud Language Models. | Avanika Narayan, Dan Biderman, Sabri Eyuboglu, Avner May, Scott W. Linderman, James Zou, Christopher R |
| 2025 | ICML | KernelBench: Can LLMs Write Efficient GPU Kernels? | Anne Ouyang, Simon Guo, Simran Arora, Alex L. Zhang, William Hu, Christopher R, Azalia Mirhoseini |
| 2025 | ICML | An Architecture Search Framework for Inference-Time Techniques. | Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Kumar Guha, Estefany Kelly Buchanan, Mayee F. Chen, Neel Guha, Christopher R, Azalia Mirhoseini |
| 2024 | ICLR | Zoology: Measuring and Improving Recall in Efficient Language Models. | Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher R |
| 2024 | ICLR | Context-Aware Meta-Learning. | Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher R, Sebastian Thrun |
| 2024 | ICLR | FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores. | Daniel Y. Fu, Hermann Kumbong, Eric Nguyen, Christopher R |
| 2024 | ICLR | The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry. | Michael Zhang, Kush Bhatia, Hermann Kumbong, Christopher R |
| 2024 | ICML | Simple linear attention language models balance the recall-throughput tradeoff. | Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, James Zou, Atri Rudra, Christopher R |
| 2024 | ICML | Prospector Heads: Generalized Feature Attribution for Large Models & Data. | Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher R, Parag Mallick |
| 2024 | ICML | State-Free Inference of State-Space Models: The *Transfer Function* Approach. | Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T. H. Smith, Ramin M. Hasani, Mathias Lechner, Qi An, Christopher R, Hajime Asama, Stefano Ermon, Taiji Suzuki, Michael Poli, Atsushi Yamashita |
| 2024 | ICML | Mechanistic Design and Scaling of Hybrid Architectures. | Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Bjrn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian L. Hie, Stefano Ermon, Christopher R, Ce Zhang, Stefano Massaroli |
| 2024 | ICML | Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. | Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher R |
| 2024 | WACV | Collage Diffusion. | Vishnu Sarukkai, Linden Li, Arden Ma, Christopher R, Kayvon Fatahalian |
| 2023 | AAAI | HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs. | Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher R, Matei Zaharia, James Zou |
| 2023 | COLT | Fast Algorithms for a New Relaxation of Optimal Transport. | Moses Charikar, Beidi Chen, Christopher R, Erik Waingarten |
| 2023 | ICLR | Ask Me Anything: A simple strategy for prompting language models. | Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Christopher R |
| 2023 | ICLR | Hungry Hungry Hippos: Towards Language Modeling with State Space Models. | Daniel Y. Fu, Tri Dao, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher R |
| 2023 | ICLR | How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections. | Albert Gu, Isys Johnson, Aman Timalsina, Atri Rudra, Christopher R |
| 2023 | ICLR | Effectively Modeling Time Series with Simple Discrete State Spaces. | Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher R |
| 2023 | ICML | FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU. | Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher R, Ion Stoica, Ce Zhang |
| 2023 | ICML | Simple Hardware-Efficient Long Convolutions for Sequence Modeling. | Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher R |
| 2023 | ICML | Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. | Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher R, Beidi Chen |
| 2023 | ICML | Hyena Hierarchy: Towards Larger Convolutional Language Models. | Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher R |
| 2023 | ICML | CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks. | Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher R, Ce Zhang |
| 2022 | ACL | Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models. | Simran Arora, Sen Wu, Enci Liu, Christopher R |
| 2022 | ACL | TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. | Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher R |
| 2022 | CIDR | Data Management Opportunities for Foundation Models. | Laurel J. Orr, Karan Goel, Christopher R |
| 2022 | ICLR | Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models. | Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher R |
| 2022 | ICLR | Domino: Discovering Systematic Errors with Cross-Modal Embeddings. | Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher R |
| 2022 | ICLR | Efficiently Modeling Long Sequences with Structured State Spaces. | Albert Gu, Karan Goel, Christopher R |
| 2022 | ICML | Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. | Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher R |
| 2022 | ICML | Monarch: Expressive Structured Matrices for Efficient and Accurate Training. | Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher R |
| 2022 | ICML | It's Raw! Audio Generation with State-Space Models. | Karan Goel, Albert Gu, Chris Donahue, Christopher R |
| 2022 | ICML | Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations. | Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher R |
| 2022 | SIGMOD | The DB Community vis--vis Environmental, Health, and Societal Grand Challenges: Innovation Engine, Plumber, or Bystander? | Anastasia Ailamaki, Leilani Battle, Johannes Gehrke, Masaru Kitsuregawa, David Maier, Christopher R, Meihui Zhang, Magdalena Balazinska |
| 2022 | SIGMOD | Is Data Management the Beating Heart of AI Systems? | Christopher R |
| 2022 | UAI | Shoring up the foundations: fusing model embeddings and weak supervision. | Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher R |
| 2021 | AISTATS | Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation. | Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher R |
| 2021 | CIDR | Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation. | Laurel J. Orr, Megan Leszczynski, Neel Guha, Sen Wu, Simran Arora, Xiao Ling, Christopher R |
| 2021 | EMNLP | Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text. | Maya Varma, Laurel J. Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher R |
| 2021 | ICLR | MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training. | Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan Lingjie Li, Tri Dao, Zhao Song, Anshumali Shrivastava, Christopher R |
| 2021 | ICLR | Model Patching: Closing the Subgroup Performance Gap with Data Augmentation. | Karan Goel, Albert Gu, Sharon Li, Christopher R |
| 2021 | ICLR | Cut out the annotator, keep the cutout: better segmentation with weak supervision. | Sarah M. Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis P. Langlotz, Christopher R |
| 2021 | ICML | HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections. | Ines Chami, Albert Gu, Dat Nguyen, Christopher R |
| 2021 | ICML | Mandoline: Model Evaluation under Distribution Shift. | Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher R |
| 2021 | ICML | Catformer: Designing Stable Transformers via Sensitivity Analysis. | Jared Quincy Davis, Albert Gu, Krzysztof Choromanski, Tri Dao, Christopher R, Chelsea Finn, Percy Liang |
| 2021 | MICCAI | Observational Supervision for Medical Image Classification Using Gaze Data. | Khaled Saab, Sarah M. Hooper, Nimit Sharad Sohoni, Jupinder Parmar, Brian Pogatchnik, Sen Wu, Jared A. Dunnmon, Hongyang R. Zhang, Daniel L. Rubin, Christopher R |
| 2021 | NAACL | Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems. | Karan Goel, Laurel J. Orr, Nazneen Fatema Rajani, Jesse Vig, Christopher R |
| 2021 | NAACL | Robustness Gym: Unifying the NLP Evaluation Landscape. | Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Zachary Taschdjian, Mohit Bansal, Christopher R |
| 2020 | ACL | Contextual Embeddings: When Are They Worth It? | Simran Arora, Avner May, Jian Zhang, Christopher R |
| 2020 | ACL | Low-Dimensional Hyperbolic Knowledge Graph Embeddings. | Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher R |
| 2020 | AISTATS | Ivy: Instrumental Variable Synthesis for Causal Inference. | Zhaobin Kuang, Frederic Sala, Nimit Sharad Sohoni, Sen Wu, Aldo Crdova-Palomera, Jared Dunnmon, James Priest, Christopher R |
| 2020 | CIDR | Overton: A Data System for Monitoring and Improving Machine-Learned Products. | Christopher R |
| 2020 | ICALP | Sparse Recovery for Orthogonal Polynomial Transforms. | Anna C. Gilbert, Albert Gu, Christopher R, Atri Rudra, Mary Wootters |
| 2020 | ICLR | Understanding and Improving Information Transfer in Multi-Task Learning. | Sen Wu, Hongyang R. Zhang, Christopher R |
| 2020 | ICLR | Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps. | Tri Dao, Nimit Sharad Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher R |
| 2020 | ICML | Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. | Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher R |
| 2020 | ICML | On the Generalization Effects of Linear Transformations in Data Augmentation. | Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher R |
| 2019 | AAAI | Training Complex Models with Multi-Task Weak Supervision. | Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher R |
| 2019 | AISTATS | Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation. | Jian Zhang, Avner May, Tri Dao, Christopher R |
| 2019 | AMIA | Classifying Non-Small Cell Lung Cancer Histopathology Types and Transcriptomic Subtypes using Convolutional Neural Networks. | Kun-Hsing Yu, Feiran Wang, Gerald J. Berry, Christopher R, Russ B. Altman, Michael Snyder, Isaac S. Kohane |
| 2019 | CIDR | The Role of Massively Multi-Task and Weak Supervision in Software 2.0. | Alexander J. Ratner, Braden Hancock, Christopher R |
| 2019 | ICCV | Scene Graph Prediction With Limited Labels. | Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein, Christopher R, Li Fei-Fei |
| 2019 | ICDT | A Formal Framework for Probabilistic Unclean Databases. | Christopher De Sa, Ihab F. Ilyas, Benny Kimelfeld, Christopher R, Theodoros Rekatsinas |
| 2019 | ICLR | Learning Mixed-Curvature Representations in Product Spaces. | Albert Gu, Frederic Sala, Beliz Gunel, Christopher R |
| 2019 | ICML | Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. | Tri Dao, Albert Gu, Matthew Eichhorn, Atri Rudra, Christopher R |
| 2019 | ICML | A Kernel Theory of Modern Data Augmentation. | Tri Dao, Albert Gu, Alexander Ratner, Virginia Smith, Chris De Sa, Christopher R |
| 2019 | ICML | Learning Dependency Structures for Weak Supervision Models. | Paroma Varma, Frederic Sala, Ann He, Alexander Ratner, Christopher R |
| 2019 | MICCAI | Doubly Weak Supervision of Deep Learning Models for Head CT. | Khaled Saab, Jared Dunnmon, Roger E. Goldman, Alexander Ratner, Hersh Sagreiya, Christopher R, Daniel L. Rubin |
| 2019 | SIGMOD | Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale. | Stephen H. Bach, Daniel Rodriguez, Yintao Liu, Chong Luo, Haidong Shao, Cassandra Xia, Souvik Sen, Alexander Ratner, Braden Hancock, Houman Alborzi, Rahul Kuchhal, Christopher R, Rob Malkin |
| 2019 | SIGMOD | Osprey: Weak Supervision of Imbalanced Extraction Problems without Code. | Eran Bringer, Abraham Israeli, Yoav Shoham, Alexander Ratner, Christopher R |
| 2018 | ACL | Training Classifiers with Natural Language Explanations. | Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher R |
| 2018 | AISTATS | Accelerated Stochastic Power Iteration. | Peng Xu, Bryan D. He, Christopher De Sa, Ioannis Mitliagkas, Christopher R |
| 2018 | AMIA | Unraveling the Molecular Basis of Lung Adenocarcinoma Dedifferentiation and Prognosis by Integrating Omics and Histopathology. | Kun-Hsing Yu, Gerald J. Berry, Daniel L. Rubin, Christopher R, Russ B. Altman, Michael Snyder |
| 2018 | ICDE | LevelHeaded: A Unified Engine for Business Intelligence and Linear Algebra Querying. | Christopher R. Aberger, Andrew Lamb, Kunle Olukotun, Christopher R |
| 2018 | ICLR | Learning Invariance with Compact Transforms. | Anna T. Thomas, Albert Gu, Tri Dao, Atri Rudra, Christopher R |
| 2018 | ICML | Representation Tradeoffs for Hyperbolic Embeddings. | Frederic Sala, Christopher De Sa, Albert Gu, Christopher R |
| 2018 | KDD | Software 2.0 and Snorkel: Beyond Hand-Labeled Data. | Christopher R |
| 2018 | PSB | Machine learning and deep analytics for biocomputing: Call for better explainability. | Dragutin Petkovic, Lester Kobzik, Christopher R |
| 2018 | SIGMOD | Fonduer: Knowledge Base Construction from Richly Formatted Data. | Sen Wu, Luke Hsiao, Xiao Cheng, Braden Hancock, Theodoros Rekatsinas, Philip Alexander Levis, Christopher R |
| 2018 | SIGMOD | Snorkel MeTaL: Weak Supervision for Multi-Task Learning. | Alexander Ratner, Braden Hancock, Jared Dunnmon, Roger E. Goldman, Christopher R |
| 2018 | SIGMOD | Exploring the Utility of Developer Exhaust. | Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher R |
| 2018 | SODA | A Two-pronged Progress in Structured Dense Matrix Vector Multiplication. | Christopher De Sa, Albert Gu, Rohan Puttagunta, Christopher R, Atri Rudra |
| 2017 | AMIA | Predicting Non-Small Cell Lung Cancer Diagnosis and Prognosis by Fully Automated Microscopic Pathology Image Features. | Kun-Hsing Yu, Ce Zhang, Gerald J. Berry, Russ B. Altman, Christopher R, Daniel L. Rubin, Michael Snyder |
| 2017 | CIDR | Snorkel: A System for Lightweight Extraction. | Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, Christopher R |
| 2017 | ICDT | GYM: A Multiround Distributed Join Algorithm. | Foto N. Afrati, Manas R. Joglekar, Christopher R, Semih Salihoglu, Jeffrey D. Ullman |
| 2017 | ICML | Learning the Structure of Generative Models without Labeled Data. | Stephen H. Bach, Bryan Dawei He, Alexander Ratner, Christopher R |
| 2017 | IJCAI | Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling. | Christopher De Sa, Kunle Olukotun, Christopher R |
| 2017 | ISCA | Understanding and Optimizing Asynchronous Low-Precision Stochastic Gradient Descent. | Christopher De Sa, Matthew Feldman, Christopher R, Kunle Olukotun |
| 2017 | PODS | A Relational Framework for Classifier Engineering. | Benny Kimelfeld, Christopher R |
| 2017 | SIGMOD | Snorkel: Fast Training Set Generation for Information Extraction. | Alexander J. Ratner, Stephen H. Bach, Henry R. Ehrenberg, Christopher R |
| 2017 | SIGMOD | SLiMFast: Guaranteed Results for Data Fusion and Source Reliability. | Theodoros Rekatsinas, Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher R |
| 2017 | SIGMOD | Flipper: A Systematic Approach to Debugging Training Sets. | Paroma Varma, Dan Iter, Christopher De Sa, Christopher R |
| 2017 | UAI | Snorkel: Beyond Hand-labeled Data. | Christopher R |
| 2016 | ICDE | Old techniques for new join algorithms: A case study in RDF processing. | Christopher R. Aberger, Susan Tu, Kunle Olukotun, Christopher R |
| 2016 | ICDE | Dark Data: Are we solving the right problems? | Michael J. Cafarella, Ihab F. Ilyas, Marcel Kornacker, Tim Kraska, Christopher R |
| 2016 | ICDT | It's All a Matter of Degree: Using Degree Information to Optimize Multiway Joins. | Manas Joglekar, Christopher R |
| 2016 | ICML | Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling. | Christopher De Sa, Christopher R, Kunle Olukotun |
| 2016 | ICWSM | Wikipedia Knowledge Graph with DeepDive. | Thomas Palomares, Youssef Ahres, Juhana Kangaspunta, Christopher R |
| 2016 | PODS | AJAR: Aggregations and Joins over Annotated Relations. | Manas R. Joglekar, Rohan Puttagunta, Christopher R |
| 2016 | SIGMOD | EmptyHeaded: A Relational Engine for Graph Processing. | Christopher R. Aberger, Susan Tu, Kunle Olukotun, Christopher R |
| 2016 | SIGMOD | Data programming with DDLite: putting humans in a different part of the loop. | Henry R. Ehrenberg, Jaeho Shin, Alexander J. Ratner, Jason A. Fries, Christopher R |
| 2016 | SIGMOD | Extracting Databases from Dark Data with DeepDive. | Ce Zhang, Jaeho Shin, Christopher R, Michael J. Cafarella, Feng Niu |
| 2016 | SODA | Weighted SGD for | Jiyan Yang, Yinlam Chow, Christopher R, Michael W. Mahoney |
| 2015 | EDBT | Jedi: A Storage Manager for SIMD-aware, Worst-case Optimal Join Processing. | Christopher R |
| 2015 | ICML | Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems. | Christopher De Sa, Christopher R, Kunle Olukotun |
| 2015 | PODS | Joins via Geometric Resolutions: Worst-case and Beyond. | Mahmoud Abo Khamis, Hung Q. Ngo, Christopher R, Atri Rudra |
| 2015 | SIGMOD | Caffe con Troll: Shallow Ideas to Speed Up Deep Learning. | Stefan Hadjis, Firas Abuzaid, Ce Zhang, Christopher R |
| 2015 | SIGMOD | Exploiting Correlations for Expensive Predicate Evaluation. | Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher R |
| 2015 | SIGMOD | Join Processing for Graph Patterns: An Old Dog with New Tricks. | Dung T. Nguyen, Molham Aref, Martin Bravenboer, George Kollias, Hung Q. Ngo, Christopher R, Atri Rudra |
| 2015 | SIGMOD | DunceCap: Compiling Worst-Case Optimal Query Plans. | Adam Perelman, Christopher R |
| 2015 | SIGMOD | Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? | Christopher R, Divy Agrawal, Magdalena Balazinska, Michael J. Cafarella, Michael I. Jordan, Tim Kraska, Raghu Ramakrishnan |
| 2015 | SIGMOD | DunceCap: Query Plans Using Generalized Hypertree Decompositions. | Susan Tu, Christopher R |
| 2014 | ICDT | Links between Join Processing and Convex Geometry. | Christopher R |
| 2014 | ICDT | The Theory of Zeta Graphs with an Application to Random Networks. | Christopher R |
| 2014 | ICML | An Asynchronous Parallel Stochastic Coordinate Descent Algorithm. | Ji Liu, Stephen J. Wright, Christopher R, Victor Bittorf, Srikrishna Sridhar |
| 2014 | ILP | Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge. | Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher R, Jude W. Shavlik |
| 2014 | PODS | Beyond worst-case analysis for joins with minesweeper. | Hung Q. Ngo, Dung T. Nguyen, Christopher R, Atri Rudra |
| 2014 | SIGMOD | Materialization optimizations for feature selection workloads. | Ce Zhang, Arun Kumar, Christopher R |
| 2014 | VLDB | Tradeoffs in Main-Memory Statistical Analytics from Impala to DimmWitted. | Victor Bittorf, Marcel Kornacker, Christopher R, Ce Zhang |
| 2013 | AAAI | Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text. | Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher R, Jude W. Shavlik |
| 2013 | ACL | Understanding Tables in Context Using Standard NLP Toolkits. | Vidhya Govindaraju, Ce Zhang, Christopher R |
| 2013 | CIDR | Brainwash: A Data System for Feature Engineering. | Michael R. Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher R, Ce Zhang |
| 2013 | SIGMOD | GeoDeepDive: statistical inference using familiar data-processing languages. | Ce Zhang, Vidhya Govindaraju, Jackson Borchardt, Tim Foltz, Christopher R, Shanan Peters |
| 2013 | SIGMOD | Towards high-throughput gibbs sampling at scale: a study across storage managers. | Ce Zhang, Christopher R |
| 2012 | ACL | Big Data versus the Crowd: Looking for Relationships in All the Right Places. | Ce Zhang, Feng Niu, Christopher R, Jude W. Shavlik |
| 2012 | ICDE | Optimizing Statistical Information Extraction Programs over Evolving Text. | Fei Chen, Xixuan Feng, Christopher R, Min Wang |
| 2012 | ICDM | Scaling Inference for Markov Logic via Dual Decomposition. | Feng Niu, Ce Zhang, Christopher R, Jude W. Shavlik |
| 2012 | PODS | Worst-case optimal join algorithms: [extended abstract]. | Hung Q. Ngo, Ely Porat, Christopher R, Atri Rudra |
| 2012 | SIGMOD | Towards a unified architecture for in-RDBMS analytics. | Xixuan Feng, Arun Kumar, Benjamin Recht, Christopher R |
| 2010 | ICDE | Approximation trade-offs in Markovian stream processing: An empirical study. | Julie Letchner, Christopher R, Magdalena Balazinska, Matthai Philipose |
| 2010 | PODS | Transducing Markov sequences. | Benny Kimelfeld, Christopher R |
| 2010 | PODS | Understanding cardinality estimation using entropy maximization. | Christopher R, Dan Suciu |
| 2009 | ICDE | Large-Scale Deduplication with Constraints Using Dedupalog. | Arvind Arasu, Christopher R, Dan Suciu |
| 2009 | ICDE | Access Methods for Markovian Streams. | Julie Letchner, Christopher R, Magdalena Balazinska, Matthai Philipose |
| 2008 | SIGMOD | A demonstration of Cascadia through a digital diary application. | Nodira Khoussainova, Evan Welbourne, Magdalena Balazinska, Gaetano Borriello, Garrett Cole, Julie Letchner, Yang Li, Christopher R, Dan Suciu, Jordan Walke |
| 2008 | SIGMOD | Event queries on correlated probabilistic streams. | Christopher R, Julie Letchner, Magdalena Balazinska, Dan Suciu |
| 2007 | CIDR | Structured Querying of Web Text Data: A Technical Challenge. | Michael J. Cafarella, Christopher R, Dan Suciu, Oren Etzioni |
| 2007 | CIKM | Management of data with uncertainties. | Christopher R, Dan Suciu |
| 2007 | ICDE | Efficient Top-k Query Evaluation on Probabilistic Data. | Christopher R, Nilesh N. Dalvi, Dan Suciu |
| 2007 | VLDB | Materialized Views in Probabilistic Databases for Information Exchange and Query Optimization. | Christopher R, Dan Suciu |
| 2006 | ICDE | A Complete and Efficient Algebraic Compiler for XQuery. | Christopher R, Jrme Simon, Mary F. Fernndez |
| 2005 | SIGCSE | Supporting workflow in a course management system. | Chavdar Botev, Hubert Chao, Theodore Chao, Yim Cheng, Raymond Doyle, Sergey Grankin, Jon Guarino, Saikat Guha, Pei-Chen Lee, Dan Perry, Christopher R, Ilya Rifkin, Tingyan Yuan, Dora Abdullah, Kathy Carpenter, David Gries, Dexter Kozen, Andrew C. Myers, David I. Schwartz, Jayavel Shanmugasundaram |
| 2005 | SIGMOD | MYSTIQ: a system for finding more answers by using probabilities. | Jihad Boulos, Nilesh N. Dalvi, Bhushan Mandhani, Shobhit Mathur, Christopher R, Dan Suciu |
| 2003 | WWW | WS-Membership - Failure Management in a Web-Services World. | Werner Vogels, Christopher R |