Papers
4,025 papers found
Dynamic Scaled Sampling for Deterministic Constraints
Lei Li, Bharath Ramsundar, Stuart Russell
Efficiently Sampling Probabilistic Programs via Program Analysis
Arun Chaganty, Aditya Nori, Sriram Rajamani
Efficient Variational Inference for Gaussian Process Regression Networks
Trung Nguyen, Edwin Bonilla
Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling
Jianzhu Ma, Jian Peng, Sheng Wang et al.
Evidence Estimation for Bayesian Partially Observed MRFs
Yutian Chen, Max Welling
Exact Learning of Bounded Tree-width Bayesian Networks
Janne Korhonen, Pekka Parviainen
Fast Near-GRID Gaussian Process Regression
Yuancheng Luo, Ramani Duraiswami
Further Optimal Regret Bounds for Thompson Sampling
Shipra Agrawal, Navin Goyal
Greedy Bilateral Sketch, Completion & Smoothing
Tianyi Zhou, Dacheng Tao
High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers
Zheng Pan, Changshui Zhang
Learning Markov Networks With Arithmetic Circuits
Daniel Lowd, Amirmohammad Rooshenas
Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes
Ke Zhou, Hongyuan Zha, Le Song
Learning to Top-K Search using Pairwise Comparisons
Brian Eriksson
Localization and Adaptation in Online Learning
Alexander Rakhlin, Ohad Shamir, Karthik Sridharan
Meta-Transportability of Causal Effects: A Formal Approach
Elias Bareinboim, Judea Pearl
Mixed LICORS: A Nonparametric Algorithm for Predictive State Reconstruction
Georg Goerg, Cosma Shalizi
Nyström Approximation for Large-Scale Determinantal Processes
Raja Hafiz Affandi, Alex Kulesza, Emily Fox et al.
ODE parameter inference using adaptive gradient matching with Gaussian processes
Frank Dondelinger, Dirk Husmeier, Simon Rogers et al.
On the Asymptotic Optimality of Maximum Margin Bayesian Networks
Sebastian Tschiatschek, Franz Pernkopf
Permutation estimation and minimax rates of identifiability
Olivier Collier, Arnak Dalalyan
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension
Hamed Firouzi, Bala Rajaratnam, Alfred Hero III
Random Projections for Support Vector Machines
Saurabh Paul, Christos Boutsidis, Malik Magdon-Ismail et al.
Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes
Andrej Aderhold, Dirk Husmeier, V. Anne Smith
Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers
Jeffrey Ho, Guang Cheng, Hesamoddin Salehian et al.
Scoring anomalies: a M-estimation formulation
Stéphan Clémençon, Jérémie Jakubowicz