Papers
A mathematical model for automatic differentiation in machine learning
Jérôme Bolte, Edouard Pauwels
A mathematical theory of cooperative communication
Pei Wang, Junqi Wang, Pushpi Paranamana et al.
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices
Jiezhong Qiu, Chi Wang, Ben Liao et al.
A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs
Nevena Lazic, Dong Yin, Mehrdad Farajtabar et al.
A mean-field analysis of two-player zero-sum games
Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch et al.
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings
Junhyung Park, Krikamol Muandet
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
Basile Confavreux, Friedemann Zenke, Everton Agnes et al.
Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring
Taira Tsuchiya, Junya Honda, Masashi Sugiyama
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks
Randall Balestriero, Sebastien PARIS, Richard Baraniuk
Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry
Yossi Arjevani, Michael Field
An Analysis of SVD for Deep Rotation Estimation
Jake Levinson, Carlos Esteves, Kefan Chen et al.
An analytic theory of shallow networks dynamics for hinge loss classification
Franco Pellegrini, Giulio Biroli
An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits
Andrea Tirinzoni, Matteo Pirotta, Marcello Restelli et al.
An Efficient Adversarial Attack for Tree Ensembles
Chong Zhang, Huan Zhang, Cho-Jui Hsieh
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
Kyunghyun Lee, Byeong-Uk Lee, Ukcheol Shin et al.
An Efficient Framework for Clustered Federated Learning
Avishek Ghosh, Jichan Chung, Dong Yin et al.
An efficient nonconvex reformulation of stagewise convex optimization problems
Rudy R Bunel, Oliver Hinder, Srinadh Bhojanapalli et al.
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits
Julian Katz-Samuels, Lalit Jain, zohar karnin et al.
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
Scott Fujimoto, David Meger, Doina Precup
A new convergent variant of Q-learning with linear function approximation
Diogo Carvalho, Francisco S. Melo, Pedro Santos
A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons
Gabriel Mahuas, Giulio Isacchini, Olivier Marre et al.
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch
Siddharth Desai, Ishan Durugkar, Haresh Karnan et al.
An implicit function learning approach for parametric modal regression
Yangchen Pan, Ehsan Imani, Amir-massoud Farahmand et al.
An Improved Analysis of Stochastic Gradient Descent with Momentum
Yanli Liu, Yuan Gao, Wotao Yin
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods
Yanli Liu, Kaiqing Zhang, Tamer Basar et al.