Papers
4,025 papers found
Duel-based Deep Learning system for solving IQ tests
Paulina Tomaszewska, Adam Żychowski, Jacek Mańdziuk
Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference
Kazuki Koyama, Keisuke Kiritoshi, Tomomi Okawachi et al.
Efficient Algorithms for Extreme Bandits
Dorian Baudry, Yoan Russac, Emilie Kaufmann
Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs
Harish Doddi, Deepjyoti Deka, Saurav Talukdar et al.
Efficient computation of the the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes
Augustin Chevallier, Frédéric Cazals, Paul Fearnhead
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
Giacomo Meanti, Luigi Carratino, Ernesto De Vito et al.
Efficient interventional distribution learning in the PAC framework
Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy et al.
Efficient Kernelized UCB for Contextual Bandits
Houssam Zenati, Alberto Bietti, Eustache Diemert et al.
Efficient Online Bayesian Inference for Neural Bandits
Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy
Embedded Ensembles: infinite width limit and operating regimes
Maksim Velikanov, Roman V. Kail, Ivan Anokhin et al.
Encrypted Linear Contextual Bandit
Evrard Garcelon, Matteo Pirotta, Vianney Perchet
Entropy Regularized Optimal Transport Independence Criterion
Lang Liu, Soumik Pal, Zaid Harchaoui
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms
Joshua Agterberg, Jeremias Sulam
Equivariance Discovery by Learned Parameter-Sharing
Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson et al.
Equivariant Deep Dynamical Model for Motion Prediction
Bahar Azari, Deniz Erdogmus
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression
Pratik Patil, Alessandro Rinaldo, Ryan Tibshirani
Estimators of Entropy and Information via Inference in Probabilistic Models
Feras Saad, Marco Cusumano-Towner, Vikash Mansinghka
ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics
Daniel Csillag, Carolina Piazza, Thiago Ramos et al.
Exact Community Recovery over Signed Graphs
Xiaolu Wang, Peng Wang, Anthony Man-Cho So
Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits
Aadirupa Saha, Suprovat Ghoshal
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis
Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi et al.
Exploring Image Regions Not Well Encoded by an INN
Zenan Ling, Fan Zhou, Meng Wei et al.
Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky’s Theorem
Clayton H. Sanford, Vaggos Chatziafratis
Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity
Eduard Gorbunov, Nicolas Loizou, Gauthier Gidel
Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods
Baturalp Yalçın, Haixiang Zhang, Javad Lavaei et al.