Daphne Koller

Publication Activity (10 Years)

Years Active: 1987-2019
Publications (10 Years): 5

Top Venues

CoRR

TRECVID

AISTATS

KDD

Publications

Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nick Eriksson, Percy Liang
Inferring Multidimensional Rates of Aging from Cross-Sectional Data. AISTATS (2019)
Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang
Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data. CoRR (2018)
Emma Pierson, Daphne Koller, Alexis Battle, Sara Mostafavi
Sharing and Specificity of Co-expression Networks across 35 Human Tissues. PLoS Comput. Biol. 11 (5) (2015)
M. Pawan Kumar, Haithem Turki, Dan Preston, Daphne Koller
Parameter Estimation and Energy Minimization for Region-Based Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 37 (7) (2015)
Daphne Koller
MOOCS: What Have We Learned? KDD (2015)
Andrew L. Maas, Chris Heather, Chuong B. Do, Relly Brandman, Daphne Koller, Andrew Y. Ng
Offering Verified Credentials in Massive Open Online Courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium). Ubiquity 2014 (May) (2014)
Nir Friedman, Daphne Koller
Being Bayesian about Network Structure CoRR (2013)
Andrew Y. Ng, Daphne Koller
The online revolution: education for everyone. KDD (2013)
Adam J. Grove, Daphne Koller
Probability Estimation in Face of Irrelevant Information CoRR (2013)
Eric Bauer, Daphne Koller, Yoram Singer
Update Rules for Parameter Estimation in Bayesian Networks CoRR (2013)
Kevin D. Tang, Bangpeng Yao, Li Fei-Fei, Daphne Koller
Combining the Right Features for Complex Event Recognition. ICCV (2013)
Urszula Chajewska, Daphne Koller
Utilities as Random Variables: Density Estimation and Structure Discovery CoRR (2013)
Ben Taskar, Pieter Abbeel, Daphne Koller
Discriminative Probabilistic Models for Relational Data CoRR (2013)
Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, Daphne Koller
Generating New Beliefs From Old CoRR (2013)
Sangmin Oh, A. G. Amitha Perera, Ilseo Kim, Megha Pandey, Kevin J. Cannons, Hossein Hajimirsadeghi, Arash Vahdat, Greg Mori, Ben Miller, Scott McCloskey, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Chenliang Xu, Rohit Kumar, Wei Chen, Jason J. Corso, Li Fei-Fei, Daphne Koller, Vignesh Ramanathan, Kevin Tang, Armand Joulin, Alexandre Alahi
TRECVID 2013 GENIE: Multimedia Event Detection and Recounting. TRECVID (2013)
Craig Boutilier, Nir Friedman, Moisés Goldszmidt, Daphne Koller
Context-Specific Independence in Bayesian Networks CoRR (2013)
Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller
Tuned Models of Peer Assessment in MOOCs. EDM (2013)
Uri Nodelman, Christian R. Shelton, Daphne Koller
Continuous Time Bayesian Networks CoRR (2013)
Brian Milch, Daphne Koller
Probabilistic Models for Agents' Beliefs and Decisions CoRR (2013)
Daphne Koller, Ronald Parr
Policy Iteration for Factored MDPs CoRR (2013)
Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller
Tuned Models of Peer Assessment in MOOCs. CoRR (2013)
Keiji Kanazawa, Daphne Koller, Stuart J. Russell
Stochastic Simulation Algorithms for Dynamic Probabilistic Networks CoRR (2013)
Chinmay Eishan Kulkarni, Pang Wei Wei, Huy Le, Daniel Jin hao Chia, Kathryn Papadopoulos, Justin Cheng, Daphne Koller, Scott R. Klemmer
Peer and self assessment in massive online classes. ACM Trans. Comput. Hum. Interact. 20 (6) (2013)
John S. Breese, Daphne Koller
Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (2001) CoRR (2013)
Daphne Koller, Uri Lerner, Dragomir Anguelov
A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets CoRR (2013)
Uri Lerner, Eran Segal, Daphne Koller
Exact Inference in Networks with Discrete Children of Continuous Parents CoRR (2013)
Huayan Wang, Stephen Gould, Daphne Koller
Discriminative learning with latent variables for cluttered indoor scene understanding. Commun. ACM 56 (4) (2013)
Alexander V. Kozlov, Daphne Koller
Nonuniform Dynamic Discretization in Hybrid Networks CoRR (2013)
Xavier Boyen, Nir Friedman, Daphne Koller
Discovering the Hidden Structure of Complex Dynamic Systems CoRR (2013)
Uri Lerner, Brooks Moses, Maricia Scott, Sheila A. McIlraith, Daphne Koller
Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net CoRR (2013)
Ethan Fast, Colleen Lee, Alex Aiken, Michael S. Bernstein, Daphne Koller, Eric Smith
Crowd-scale interactive formal reasoning and analytics. UIST (2013)
Xavier Boyen, Daphne Koller
Tractable Inference for Complex Stochastic Processes CoRR (2013)
Daphne Koller, Avi Pfeffer
Object-Oriented Bayesian Networks CoRR (2013)
Huayan Wang, Daphne Koller
A Fast and Exact Energy Minimization Algorithm for Cycle MRFs. ICML (3) (2013)
Dragomir Anguelov, Rahul Biswas, Daphne Koller, Benson Limketkai, Sebastian Thrun
Learning Hierarchical Object Maps Of Non-Stationary Environments with mobile robots CoRR (2013)
Avi Pfeffer, Daphne Koller, Brian Milch, Ken T. Takusagawa
SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation CoRR (2013)
Huayan Wang, Daphne Koller
Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing. ICML (2) (2013)
M. Pawan Kumar, Benjamin Packer, Daphne Koller
Modeling Latent Variable Uncertainty for Loss-based Learning. ICML (2012)
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
Learning Factor Graphs in Polynomial Time & Sample Complexity CoRR (2012)
Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun
Real-Time Human Pose Tracking from Range Data. ECCV (6) (2012)
Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller
Constrained Approximate Maximum Entropy Learning of Markov Random Fields CoRR (2012)
Uri Nodelman, Christian R. Shelton, Daphne Koller
Learning Continuous Time Bayesian Networks CoRR (2012)
Benjamin Packer, Kate Saenko, Daphne Koller
A combined pose, object, and feature model for action understanding. CVPR (2012)
Suchi Saria, Uri Nodelman, Daphne Koller
Reasoning at the Right Time Granularity CoRR (2012)
John C. Duchi, Stephen Gould, Daphne Koller
Projected Subgradient Methods for Learning Sparse Gaussians CoRR (2012)
M. Pawan Kumar, Benjamin Packer, Daphne Koller
Modeling Latent Variable Uncertainty for Loss-based Learning CoRR (2012)
Gal Elidan, Ian McGraw, Daphne Koller
Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing. CoRR (2012)
Uri Nodelman, Daphne Koller, Christian R. Shelton
Expectation Propagation for Continuous Time Bayesian Networks CoRR (2012)
Uri Nodelman, Christian R. Shelton, Daphne Koller
Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks CoRR (2012)
Chris Piech, Mehran Sahami, Daphne Koller, Steve Cooper, Paulo Blikstein
Modeling how students learn to program. SIGCSE (2012)
Kevin D. Tang, Li Fei-Fei, Daphne Koller
Learning latent temporal structure for complex event detection. CVPR (2012)
Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne Koller
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies CoRR (2012)
M. Pawan Kumar, Daphne Koller
MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts CoRR (2012)
Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphne Koller, Vladlen Koltun
A probabilistic model for component-based shape synthesis. ACM Trans. Graph. 31 (4) (2012)
Marc Teyssier, Daphne Koller
Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks CoRR (2012)
Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James J. Little, Bernt Schiele, Daphne Koller
Fine-Grained Categorization for 3D Scene Understanding. BMVC (2012)
Kevin Miller, M. Pawan Kumar, Benjamin Packer, Danny Goodman, Daphne Koller
Max-Margin Min-Entropy Models. AISTATS (2012)
Tal El-Hay, Nir Friedman, Daphne Koller, Raz Kupferman
Continuous Time Markov Networks. CoRR (2012)
Tianshi Gao, Michael Stark, Daphne Koller
What Makes a Good Detector? - Structured Priors for Learning from Few Examples. ECCV (5) (2012)
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun
Recovering Articulated Object Models from 3D Range Data CoRR (2012)
Kevin D. Tang, Vignesh Ramanathan, Li Fei-Fei, Daphne Koller
Shifting Weights: Adapting Object Detectors from Image to Video. NIPS (2012)
A. G. Amitha Perera, Sangmin Oh, Megha Pandey, Tianyang Ma, Anthony Hoogs, Arash Vahdat, Kevin J. Cannons, Hossein Hajimirsadeghi, Greg Mori, Scott McCloskey, Ben Miller, Sharath Venkatesha, Pedro Davalos, Pradipto Das, Chenliang Xu, Jason J. Corso, Rohini K. Srihari, Ilseo Kim, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Kevin Tang, Li Fei-Fei, Daphne Koller
TRECVID 2012 GENIE: Multimedia Event Detection and Recounting. TRECVID (2012)
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman
Learning Module Networks CoRR (2012)
A. G. Amitha Perera, Sangmin Oh, Matthew J. Leotta, Ilseo Kim, Byungki Byun, Chin-Hui Lee, Scott McCloskey, Jingchen Liu, Ben Miller, Zhi Feng Huang, Arash Vahdat, Weilong Yang, Greg Mori, Kevin Tang, Daphne Koller, Li Fei-Fei, Kang Li, Gang Chen, Jason J. Corso, Yun Fu, Rohini K. Srihari
GENIE TRECVID 2011 Multimedia Event Detection: Late-Fusion Approaches to Combine Multiple Audio-Visual features. TRECVID (2011)
Tianshi Gao, Daphne Koller
Discriminative learning of relaxed hierarchy for large-scale visual recognition. ICCV (2011)
Huayan Wang, Daphne Koller
Multi-level inference by relaxed dual decomposition for human pose segmentation. CVPR (2011)
Ben Blum, Daphne Koller, Christian R. Shelton
A Continuation Method for Nash Equilibria in Structured Games CoRR (2011)
M. Pawan Kumar, Haithem Turki, Dan Preston, Daphne Koller
Learning specific-class segmentation from diverse data. ICCV (2011)
Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman
Efficient Solution Algorithms for Factored MDPs CoRR (2011)
Suchi Saria, Andrew Duchi, Daphne Koller
Discovering Deformable Motifs in Continuous Time Series Data. IJCAI (2011)
Tianshi Gao, Benjamin Packer, Daphne Koller
A segmentation-aware object detection model with occlusion handling. CVPR (2011)
Vladimir Jojic, Suchi Saria, Daphne Koller
Convex envelopes of complexity controlling penalties: the case against premature envelopment. AISTATS (2011)
Jonathan Laserson, Vladimir Jojic, Daphne Koller
Assembly for Metagenomes. J. Comput. Biol. 18 (3) (2011)
Tianshi Gao, Daphne Koller
Multiclass Boosting with Hinge Loss based on Output Coding. ICML (2011)
Tianshi Gao, Daphne Koller
Active Classification based on Value of Classifier. NIPS (2011)
Jonathan Laserson, Vladimir Jojic, Daphne Koller
Assembly for Metagenomes. RECOMB (2010)
David Vickrey, Oscar Kipersztok, Daphne Koller
An Active Learning Approach to Finding Related Terms. ACL (2) (2010)
Vladimir Jojic, Stephen Gould, Daphne Koller
Accelerated dual decomposition for MAP inference. ICML (2010)
M. Pawan Kumar, Daphne Koller
Efficiently selecting regions for scene understanding. CVPR (2010)
Christian Plagemann, Varun Ganapathi, Daphne Koller, Sebastian Thrun
Real-time identification and localization of body parts from depth images. ICRA (2010)
Huayan Wang, Stephen Gould, Daphne Koller
Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding. ECCV (4) (2010)
Varun Ganapathi, Christian Plagemann, Daphne Koller, Sebastian Thrun
Real time motion capture using a single time-of-flight camera. CVPR (2010)
M. Pawan Kumar, Benjamin Packer, Daphne Koller
Self-Paced Learning for Latent Variable Models. NIPS (2010)
Suchi Saria, Daphne Koller, Anna Penn
Discovering shared and individual latent structure in multiple time series CoRR (2010)
Huayan Wang, Stephen Gould, Daphne Koller
Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding. ECCV (2) (2010)
David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller
Non-Local Contrastive Objectives. ICML (2010)
Benjamin Packer, Stephen Gould, Daphne Koller
A Unified Contour-Pixel Model for Figure-Ground Segmentation. ECCV (5) (2010)
Beyang Liu, Stephen Gould, Daphne Koller
Single image depth estimation from predicted semantic labels. CVPR (2010)
M. Pawan Kumar, Daphne Koller
Learning a Small Mixture of Trees. NIPS (2009)
Stephen Gould, Fernando Amat, Daphne Koller
Alphabet SOUP: A framework for approximate energy minimization. CVPR (2009)
Stephen Gould, Richard Fulton, Daphne Koller
Decomposing a scene into geometric and semantically consistent regions. ICCV (2009)
Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller
Shape-Based Object Localization for Descriptive Classification. Int. J. Comput. Vis. 84 (1) (2009)
M. Pawan Kumar, Daphne Koller
MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts. UAI (2009)
Gal Chechik, Daphne Koller
Timing of Gene Expression Responses to Environmental Changes. J. Comput. Biol. 16 (2) (2009)
Stephen Gould, Tianshi Gao, Daphne Koller
Region-based Segmentation and Object Detection. NIPS (2009)
David Vickrey, Daphne Koller
Sentence Simplification for Semantic Role Labeling. ACL (2008)
Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller
Cascaded Classification Models: Combining Models for Holistic Scene Understanding. NIPS (2008)
Stephen Gould, Jim Rodgers, David Cohen, Gal Elidan, Daphne Koller
Multi-Class Segmentation with Relative Location Prior. Int. J. Comput. Vis. 80 (3) (2008)
Geremy Heitz, Gal Elidan, Benjamin Packer, Daphne Koller
Shape-Based Object Localization for Descriptive Classification. NIPS (2008)
Geremy Heitz, Daphne Koller
Learning Spatial Context: Using Stuff to Find Things. ECCV (1) (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daphne Koller