Papers
4,025 papers found
Linear Convergence of Adaptive Stochastic Gradient Descent
Yuege Xie, Xiaoxia Wu, Rachel Ward
Linear Dynamics: Clustering without identification
Chloe Hsu, Michaela Hardt, Moritz Hardt
Linearly Convergent Frank-Wolfe with Backtracking Line-Search
Fabian Pedregosa, Geoffrey Negiar, Armin Askari et al.
Linear predictor on linearly-generated data with missing values: non consistency and solutions
Marine Le Morvan, Nicolas Prost, Julie Josse et al.
Lipschitz Continuous Autoencoders in Application to Anomaly Detection
Young-geun Kim, Yongchan Kwon, Hyunwoong Chang et al.
Local Differential Privacy for Sampling
Hisham Husain, Borja Balle, Zac Cranko et al.
Locally Accelerated Conditional Gradients
Jelena Diakonikolas, Alejandro Carderera, Sebastian Pokutta
Logistic regression with peer-group effects via inference in higher-order Ising models
Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas
Long-and Short-Term Forecasting for Portfolio Selection with Transaction Costs
Guy Uziel, Ran El-Yaniv
Low-rank regularization and solution uniqueness in over-parameterized matrix sensing
Kelly Geyer, Anastasios Kyrillidis, Amir Kalev
MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search
Insu Han, Jennifer Gillenwater
Measuring Mutual Information Between All Pairs of Variables in Subquadratic Complexity
Mohsen Ferdosi, Arash Gholamidavoodi, Hosein Mohimani
Minimax Bounds for Structured Prediction Based on Factor Graphs
Kevin Bello, Asish Ghoshal, Jean Honorio
Minimax Rank-$1$ Matrix Factorization
Venkatesh Saligrama, Alexander Olshevsky, Julien Hendrickx
Minimax Testing of Identity to a Reference Ergodic Markov Chain
Geoffrey Wolfer, Aryeh Kontorovich
Minimizing Dynamic Regret and Adaptive Regret Simultaneously
Lijun Zhang, Shiyin Lu, Tianbao Yang
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach
Nan Lu, Tianyi Zhang, Gang Niu et al.
Mixed Strategies for Robust Optimization of Unknown Objectives
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour et al.
Model-Agnostic Counterfactual Explanations for Consequential Decisions
Amir-Hossein Karimi, Gilles Barthe, Borja Balle et al.
Modular Block-diagonal Curvature Approximations for Feedforward Architectures
Felix Dangel, Stefan Harmeling, Philipp Hennig
Momentum in Reinforcement Learning
Nino Vieillard, Bruno Scherrer, Olivier Pietquin et al.
Monotonic Gaussian Process Flows
Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek et al.
More Powerful Selective Kernel Tests for Feature Selection
Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum et al.
Multi-attribute Bayesian optimization with interactive preference learning
Raul Astudillo, Peter Frazier