Tony Jebara

32 papers · 2004–2022 · 7 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🧭 Keyword Pioneer 🌈 Renaissance Researcher (9) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (28) 🐣 Hot Topic Early Bird

🐝 Cross-Pollinator (11) 🗺️ Taxonomy Completionist (28) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (10) 🌱 Topic Pioneer 🏆 Keyword Champion 🗃️ Keyword Collector (101) 📈 Trend Setter 🚀 Conference Pioneer 💎 Century Club (32) 🔥 Unstoppable (10)

Conferences

NIPS (13) AISTATS (8) JMLR (4) ICML (3) IJCAI (2) EMNLP (1) UAI (1)

Top co-authors

Nicholas Ruozzi (3) Da Tang (3) Pannagadatta K. Shivaswamy (3) Bert Huang (3) Kui Tang (2) Maria Dimakopoulou (2) Risi Kondor (2) Anna Choromanska (2) Nikos Vlassis (2) Adrian Weller (2)

Research topics

Privacy (1) Statistics (1) Probability (1)

Keywords

support vector machine (5) graphical model (5) partition function (4) belief propagation (4) approximate inference (3) combinatorial optimization (3) variational inference (3) kernel methods (3) boosting algorithm (2) link prediction (2) variational autoencoder (2) discriminative learning (2) unsupervised learning (2) structured prediction (2) margin maximization (2) probabilistic inference (2) graph matching (2) matrix factorization (2) collaborative filtering (2) concentration inequality (2)

Papers

Multistate analysis with infinite mixtures of Markov chains UAI 2022 A New Distribution on the Simplex with Auto-Encoding Applications NIPS 2019 Marginal Posterior Sampling for Slate Bandits IJCAI 2019 On the Design of Estimators for Bandit Off-Policy Evaluation ICML 2019 Correlated Variational Auto-Encoders ICML 2019 Subgoal Discovery for Hierarchical Dialogue Policy Learning EMNLP 2018 Initialization and Coordinate Optimization for Multi-way Matching AISTATS 2017 Frank-Wolfe Algorithms for Saddle Point Problems AISTATS 2017 Bethe Learning of Graphical Models via MAP Decoding AISTATS 2016 Binary embeddings with structured hashed projections ICML 2016 Collaborative Place Models IJCAI 2015 Collaborative Ranking for Local Preferences AISTATS 2014 Clamping Variables and Approximate Inference NIPS 2014 Making Pairwise Binary Graphical Models Attractive NIPS 2014 Bethe Bounds and Approximating the Global Optimum AISTATS 2013 A multi-agent control framework for co-adaptation in brain-computer interfaces NIPS 2013 Adaptive Anonymity via $b$-Matching NIPS 2013 Semi-Supervised Learning Using Greedy Max-Cut JMLR 2013 Majorization for CRFs and Latent Likelihoods NIPS 2012 Multitask Sparsity via Maximum Entropy Discrimination JMLR 2011 Learning a Distance Metric from a Network NIPS 2011 Variance Penalizing AdaBoost NIPS 2011 Fast $b$-matching via Sufficient Selection Belief Propagation AISTATS 2011 Empirical Bernstein Boosting AISTATS 2010 Collaborative Filtering via Rating Concentration AISTATS 2010 Maximum Relative Margin and Data-Dependent Regularization JMLR 2010 Relative Margin Machines NIPS 2008 Density Estimation under Independent Similarly Distributed Sampling Assumptions NIPS 2007 Learning Monotonic Transformations for Classification NIPS 2007 Gaussian and Wishart Hyperkernels NIPS 2006 An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments NIPS 2006 Probability Product Kernels JMLR 2004