NeurIPS 2016: all accepted papers
- Unified Methods for Exploiting Piecewise Linear Structure in Convex Optimization ↗Tyler B. Johnon, Carlos Guestrin11 citations
- A Probabilistic Model of Social Decision Making based on Reward Maximization ↗Koosha Khalvati, Seongmin A. Park, Jean‐Claude Dreher et al.10 citations
- A Probabilistic Programming Approach To Probabilistic Data Analysis ↗Feras A. Saad, Vikash K. Mansinghka10 citations
- Adversarial Multiclass Classification: A Risk Minimization Perspective ↗Rizal Fathony, Anqi Liu, Kaiser Asif et al.10 citations
- Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods ↗Cristina Savin, Gašper Tkačik10 citations
- Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain ↗Timothy N. Rubin, Sanmi Koyejo, Michael N. Jones et al.10 citations
- Kernel observers: systems-theoretic modeling and inference of spatiotemporally evolving processes ↗Hassan A. Kingravi, Harshal Maske, Girish Vinayak Chowdhary10 citations
- Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning ↗Taiji Suzuki, Heishiro Kanagawa, Hayato Kobayashi et al.10 citations
- On Mixtures of Markov Chains ↗Rishi Gupta, Ravi Kumar, Sergei Vassilvitskii10 citations
- Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics ↗Wei-Shou Hsu, Pascal Poupart10 citations
- Scaled Least Squares Estimator for GLMs in Large-Scale Problems ↗Murat A. Erdogdu, Lee H. Dicker, Mohsen Bayati10 citations
- Algorithms and matching lower bounds for approximately-convex optimization ↗Yuanzhi Li, Andrej Risteski9 citations
- Brains on Beats ↗Umut Güçlü, Jordy Thielen, Michael Hanke et al.9 citations
- Clustering with Bregman Divergences: an Asymptotic Analysis ↗Chaoyue Liu, Mikhail Belkin9 citations
- Computing and maximizing influence in linear threshold and triggering models ↗Justin Khim, Varun Jog, Po‐Ling Loh9 citations
- Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions ↗Siddartha Y. Ramamohan, Arun Rajkumar, Shivani Agarwal9 citations
- Eliciting Categorical Data for Optimal Aggregation ↗Chien-Ju Ho, Rafael Frongillo, Yiling Chen9 citations
- Linear feature encoding for reinforcement learning ↗Zhao Song, Ronald Parr, Xuejun Liao et al.9 citations
- Select-and-Sample for Spike-and-Slab Sparse Coding ↗Abdul-Saboor Sheikh, Jörg Lücke9 citations
- Bi-Objective Online Matching and Submodular Allocations ↗Hossein Esfandiari, Nitish Korula, Vahab Mirrokni8 citations
- Efficient Neural Codes under Metabolic Constraints ↗Zhuo Wang, Xue-Xin Wei, Alan A. Stocker et al.8 citations
- The Forget-me-not Process ↗Kieran Milan, Joel Veness, James E. Kirkpatrick et al.8 citations
- Top-Down and Bottom-Up Interactions between Low-Level Reactive Control and Symbolic Rule Learning in Embodied Agents. ↗Clément Moulin-Frier, Xerxes D. Arsiwalla, Jordi-Ysard Puigbò et al.8 citations
- Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making ↗Himabindu Lakkaraju, Jure Leskovec7 citations
- Identification and Overidentification of Linear Structural Equation Models ↗Bryant Chen7 citations
- Off-policy experience retention for deep actor-critic learning ↗Tim de Bruin, Jens Kober, Karl Tuyls et al.7 citations
- On the Recursive Teaching Dimension of VC Classes ↗Xi Chen, Yu Cheng, Bo Tang7 citations
- The Limits of Learning with Missing Data ↗Brian Bullins, Elad Hazan, Tomer Koren7 citations
- A Bandit Framework for Strategic Regression ↗Liu Yang, Yiling Chen6 citations
- Even Faster SVD Decomposition Yet Without Agonizing Pain ↗Zeyuan Allen-Zhu, Yuanzhi Li6 citations
- Exploiting tradeoffs for exact recovery in heterogeneous stochastic block models ↗Amin Jalali, Qiyang Han, Ioana Dumitriu et al.6 citations
- Feature-distributed sparse regression: a screen-and-clean approach ↗Jiyan Yang, Michael W. Mahoney, Michael A. Saunders et al.6 citations
- Learning Parametric Sparse Models for Image Super-Resolution ↗Yongbo Li, Weisheng Dong, Xuemei Xie et al.6 citations
- Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games ↗Maximilian Balandat, Walid Krichene, Claire Jennifer Tomlin et al.6 citations
- Optimal Sparse Linear Encoders and Sparse PCA ↗Malik Magdon‐Ismail, Christos Boutsidis6 citations
- A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics ↗William Hoiles, Mihaela van der Schaar5 citations
- Active Learning with Oracle Epiphany ↗Tzu-Kuo Huang, Lihong Li, Ara Vartanian et al.5 citations
- Efficient and robust spiking neural circuit for navigation inspired by echolocating bats ↗Pulkit Tandon, Yash H. Malviya, Bipin Rajendran5 citations
- Graph Clustering: Block-models and model free results ↗Yali Wan, Marina Meilă5 citations
- Graphical Time Warping for Joint Alignment of Multiple Curves ↗Yizhi Wang, David Jonathan Miller, Kira E. Poskanzer et al.5 citations
- Error analysis of generalized nyström kernel regression ↗Hong Chen, Haifeng Xia, Heng Huang et al.4 citations
- Improved Error Bounds for Tree Representations of Metric Spaces ↗Samir Chowdhury, Facundo Mémoli, Zane Smith4 citations
- Learned Region Sparsity and Diversity Also Predicts Visual Attention ↗Zijun Wei, Hossein Adeli, Minh Hoai Nguyen et al.4 citations
- Near-Optimal Smoothing of Structured Conditional Probability Matrices ↗Moein Falahatgar, Mesrob I. Ohannessian, Alon Orlitsky4 citations
- {A central limit theorem with application to inference in α-stable regression models} ↗Marina Riabiz, Tohid Ardeshiri, Simon Godsill4 citations
- Blind attacks on machine learners ↗Alex Beatson, Zhaoran Wang, Han Liu3 citations
- Crossmodal Language Grounding, Learning, and Teaching. ↗Stefan Heinrich, Cornelius Weber, Stefan Wermter et al.3 citations
- Inverted HMM - a Proof of Concept ↗Patrick Doetsch, Hermann Ney, Stefan Hegselmann et al.3 citations
- Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics ↗Travis Monk, Cristina Savin, Jörg Lücke3 citations
- Unsupervised Learning from Noisy Networks with Applications to Hi-C Data ↗Bo Wang, Junjie Zhu, Armin Pourshafeie et al.3 citations
- ANALOGY-BASED REASONING WITH MEMORY NETWORKS FOR FUTURE PREDICTION ↗Daniel Andrade, Bing Bai, Ramkumar Rajendran et al.2 citations
- Probabilistic Inference with Generating Functions for Poisson Latent Variable Models ↗Kevin Winner, Daniel R. Sheldon2 citations
- Variational Bayes on Monte Carlo Steroids ↗Aditya Grover, Stefano Ermon2 citations
- An algorithm for L1 nearest neighbor search via monotonic embedding ↗Xin’an Wang, Sanjoy Dasgupta1 citation
- Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods ↗Andrej Risteski, Yuanzhi Li1 citation
- Convex Two-Layer Modeling with Latent Structure ↗Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu et al.1 citation
- Cooperative Graphical Models ↗Josip Djolonga, Stefanie Jegelka, Sebastian Tschiatschek et al.1 citation
- Dropout-based Automatic Relevance Determination ↗Dmitry Mikhaylov, A. Arseniy, Гнатышак Дмитрий Вадимович1 citation
- ELFI: Engine for Likelihood-Free Inference ↗Antti Kangasrääsiö, Jarno Lintusaari, Kusti Skytén et al.1 citation
- Learning User Perceived Clusters with Feature-Level Supervision ↗Ting-Yu Cheng, Guiguan Lin, xinyang gong et al.1 citation
- Learning analytics: Collaborative filtering or regression with experts? ↗Kangwook Lee, Changho Suh, Jichan Chung et al.1 citation
- Learning under uncertainty: a comparison between R-W and Bayesian approach ↗He Huang, Martin P. Paulus1 citation
- Multi-step learning and underlying structure in statistical models ↗Maia Fraser1 citation
- Neuro-Symbolic EDA-Based Optimization Using ILP-Enhanced DBNs. ↗Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan et al.1 citation
- Regret Bounds for Non-decomposable Metrics with Missing Labels ↗Nagarajan Natarajan, Prateek Jain1 citation
- Variable Binding through Assemblies in Spiking Neural Networks. ↗Robert A. Legenstein, Christos H. Papadimitriou, Santosh Vempala et al.1 citation
- A posteriori error bounds for joint matrix decomposition problems ↗Nicolò Colombo, Nikos A. Vlassis
- Combining Low-Density Separators with CNNs ↗Yu-Xiong Wang, Martial Hebert
- Constraints Based Convex Belief Propagation ↗Yaniv Tenzer, Alexander Gerhard Schwing, Kevin Gimpel et al.
- Learning Additive Exponential Family Graphical Models via 2,1-norm Regularized M-Estimation ↗Xiao–Tong Yuan, Ping Li, Tong Zhang et al.
- Learning to predict: A fast re-constructive method to generate multimodal embeddings ↗Guillem Collell, Teddy Zhang, Marie‐Francine Moens
- Re-using gradient computation in automatic variational inference ↗Joseph Sakaya, Arto Klami A
- Resource-Efficient Feature Gathering at Test Time ↗Gavin Douglas Buchanan Gray, Amos Storkey
- The Product Cut ↗Thomas Laurent, James H. von Brecht, Xavier Bresson et al.
- Towards Never-Ending Learning From Parallel Time-Series ↗Samaneh Khoshrou, Jaime S. Cardoso
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