Papers
1,821 papers found
Approximate Kernel Selection with Strong Approximate Consistency
Lizhong Ding, Yong Liu, Shizhong Liao et al.
Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry
Timothy van Bremen, Ondrej Kuzelka
Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems
Jayakumar Subramanian, Amit Sinha, Raihan Seraj et al.
Approximate Correspondences in High Dimensions
Kristen Grauman, Trevor Darrell
Approximate inference using planar graph decomposition
Amir Globerson, Tommi S. Jaakkola
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems
David Barber, Bertrand Mesot
Structured Learning with Approximate Inference
Alex Kulesza, Fernando Pereira
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
Kyomin Jung, Devavrat Shah
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms
Dominik Endres, Mike Oram, Johannes Schindelin et al.
What makes some POMDP problems easy to approximate?
Wee S. Lee, Nan Rong, David Hsu
Biasing Approximate Dynamic Programming with a Lower Discount Factor
Marek Petrik, Bruno Scherrer
Bounding Performance Loss in Approximate MDP Homomorphisms
Jonathan Taylor, Doina Precup, Prakash Panagaden
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
Indraneel Mukherjee, David M. Blei
A Smoothed Approximate Linear Program
Vijay Desai, Vivek Farias, Ciamac C. Moallemi
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model
Ed Vul, George Alvarez, Joshua B. Tenenbaum et al.
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions
Parikshit Ram, Dongryeol Lee, Hua Ouyang et al.
Error Propagation for Approximate Policy and Value Iteration
Amir-massoud Farahmand, Csaba Szepesvári, Rémi Munos
Approximate Inference by Compilation to Arithmetic Circuits
Daniel Lowd, Pedro Domingos
An Approximate Inference Approach to Temporal Optimization in Optimal Control
Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar
Approximate inference in continuous time Gaussian-Jump processes
Manfred Opper, Andreas Ruttor, Guido Sanguinetti
Neural Reconstruction with Approximate Message Passing (NeuRAMP)
Alyson K. Fletcher, Sundeep Rangan, Lav R. Varshney et al.
Message-Passing for Approximate MAP Inference with Latent Variables
Jiarong Jiang, Piyush Rai, Hal Daume
t-divergence Based Approximate Inference
Nan Ding, Yuan Qi, S.v.n. Vishwanathan
On fast approximate submodular minimization
Stefanie Jegelka, Hui Lin, Jeff A. Bilmes