R Srikant

4 papers · 2020–2022 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

AISTATS (2) ICML (1) L4DC (1)

Top co-authors

Advait Parulekar (2) Sanjay Shakkottai (2) Daniel Vial (2) Siddhartha Satpathi (1) Semih Cayci (1) Atilla Eryilmaz (1)

Research topics

Machine Learning (4) Optimization & Theory (4) Mathematics & Optimization (2) Reinforcement Learning (2) Methods (2) Optimization (2) Deep Learning (1) Architectures (1)

Keywords

regret bound (3) reinforcement learning (1) model misspecification (1) policy learning (1) gradient descent (1) linear function approximation (1) stochastic shortest path (1) multi-armed bandit (1) contextual bandit (1) sublinear regret (1) training dynamics (1) stationary policy (1) overparameterized neural network (1) linear markov decision process (1) lyapunov analysis (1) budget-constrained optimization (1) stochastic optimization (1) linear minimum mean-square error (1)

Papers

Improved Algorithms for Misspecified Linear Markov Decision Processes AISTATS 2022 Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation ICML 2022 The Dynamics of Gradient Descent for Overparametrized Neural Networks L4DC 2021 Budget-Constrained Bandits over General Cost and Reward Distributions AISTATS 2020