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Tony Jebara

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

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (18) 🌈 Renaissance Researcher (9) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (11) πŸ—ΊοΈ Taxonomy Completionist (28) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (10) 🌱 Topic Pioneer πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (101) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club (32) πŸ”₯ 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